Software Engineering Projects

Problem & Solution: Global development banks require real-time risk modeling across sovereign bond portfolios and multi-currency debt instruments. Built for World Bank Treasury Pioneers submission, this platform provides automated debt risk scoring, yield curve analytics, and executive financial reporting dashboards.

• Sovereign Risk AI Modeling: Evaluates emerging market yield curves, currency exposure, and liquidity risk.
• Executive Treasury Dashboards: Visualizes portfolio stress test scenarios and capital allocation metrics.
• Instant Reporting Engine: Generates executive briefings and compliance audit trails.

Problem & Solution: Digital design and branding agencies face sales proposal friction and manual quotation delays. Built for Framing Ideas LLC, this interactive estimator allows clients to configure brand identity tiers, WordPress web dev scope, and marketing add-ons with real-time multi-currency pricing and instant client-side PDF proposal generation.

• Multi-Currency Pricing Switcher: Real-time conversion between USD ($), GBP (£), and PKR (Rs).
• Tiered Scope Builder: Configures Starter, Pro, and Elite branding kits with custom WordPress web dev toggles.
• Client-Side PDF Generator: Generates formal downloadable Scope of Work (SOW) documents instantly via jsPDF.

Problem & Solution: Businesses and individuals face costly legal liabilities from complex contract legalese and hidden penalty clauses. NexusOmni (ContractIQ) automates contract document triage, parsing PDFs under 60 seconds to provide plain-English summaries, a 0–100 risk score, and instant detection of high-risk liability clauses.

• Automated Risk Score (0–100): Evaluates uploaded service agreements, NDAs, commercial leases, and employment contracts for liability exposure.
• Red Flag Clause Detection: Highlights high-risk indemnity, auto-renewal, liability cap, and termination clauses in plain English.
• 60-Second Analysis & PDF Report: Provides instant interactive breakdown and downloadable audit summaries.

Problem & Solution: Customers in regional gold markets often experience opaque pricing and lack instant access to daily Sarafa market rate updates. S-Jeewlani Jewellers delivers a digital storefront with real-time automated gold market pricing, transparent weight/making-charge formulas, hallmarked purity guarantee, and direct WhatsApp daily rate alert subscriptions.

• AI Live Market Rate Engine: Automatically synchronizes live 24K and 22K gold rates from Sindh Sarafa Association.
• Transparent Price Formula: Displays exact item breakdown (Gold Weight × Live Rate + Making Charges).
• Automated WhatsApp Rate Alerts: Enables visitors to subscribe for daily rate drops and store updates via WhatsApp.

Problem & Solution: B2B sales teams face proposal turnaround latency and unstandardized pitch decks. GenSales AI automates client pitch deck generation, proposal drafting, lead scoring, and automated follow-up sequences using Generative AI.

Problem & Solution: Industrial beverage manufacturing plants require real-time utility monitoring to cut energy waste. Built for PepsiCo bottling operations, this telemetry engine monitors kWh power draw, water consumption per unit, boiler steam efficiency, and carbon emissions.

Problem & Solution: Enterprise organizations lack structured data on leadership readiness and workforce upskilling ROI. Built for PSTD, TalentLoom maps corporate competency matrices, tracks executive training completion, and evaluates upskilling impact.

Problem & Solution: Students across Pakistan lack structured guidance on emerging software engineering career paths and international scholarship opportunities. This portal provides interactive career track roadmaps, skills matrix, scholarship finder, and AI job matching.

Problem & Solution: Digital advertising agencies require structured business development funnels and regional market expansion analytics. Built for AdNativ Hyderabad BD internship, this portal streamlines client acquisition workflows, ad campaign performance tracking, and BD lead telemetry.

Problem & Solution: Large non-profit internship programs require streamlined volunteer onboarding and task tracking. Built for The Citizens Foundation, this portal manages volunteer application tracking, summer internship milestone telemetry, and civic action progress.

Problem & Solution: Automotive dealerships in Karachi face booking pipeline latency and delayed customer feedback resolution. Designed specifically for Hyundai Shahrah-e-Faisal, this platform automates booking lead tracking, stock allocation, Karachi geographic catchment mapping, and real-time CR sentiment analysis.

• Sales Admin Pipeline: Visual funnel tracking from initial inquiry to pre-delivery inspection (PDI) for Tucson, Elantra, Sonata, and Santa Fe models.
• Customer Relations (CR) Sentiment Engine: Uses NLP to analyze post-test-drive customer feedback, tagging critical issues for immediate follow-up.
• Karachi Catchment Heatmap: Interactive geographic density mapping across DHA, Clifton, PECHS, and Korangi industrial zones.

Problem & Solution: Traditional post-harvest supply chains across Sindh suffer from manual routing delays and lack of localized feedback channels, leading to up to 25% crop spoilage. This prototype combines geospatial routing optimization with automated trilingual feedback processing to bridge the gap.

• Engineered a multi-stop vehicle routing algorithm using NetworkX, reducing grower transit latency by 18%.
• Implemented a trilingual NLP feedback pipeline (Sindhi, Urdu, English) processing farmer queries with 94% accuracy.
• Deployed containerized applications on GCP using Docker and Streamlit, securing automated data exports and 99.9% uptime.

Problem & Solution: Decentralized data collection across regional centers caused reporting delays and compromised data integrity. This project overhauls data ingestion pipelines and automates compliance telemetry reporting.

• Architected robust ETL data ingestion channels to process over 100k daily telemetry rows, reducing loading times by 40%.
• Created real-time data validation engines using NumPy and Pandas to filter anomalous records, improving data reliability by 95%.
• Built interactive operations control dashboards in Streamlit to automate daily reporting cycles for executive decision-makers.

Problem & Solution: Developed specifically for the AIMH Research Internship selection board to demonstrate computational modeling of historical troop movements and logistics supply networks.

• A standalone, state-of-the-art interactive digital wargaming installation mapping critical South Asian operations sectors (Operation Zojila 1948, Thar Desert Campaign, and Karakoram Highway).
• Fully models operational variables such as weather parameters, altitude de-rating, tactical formations, defensive postures, and force protection units (Armed Escorts, Mine Sweepers, Air Cover).
• Integrates Leaflet GIS tracking overlays, Chart.js wargaming telemetry curves, real-time synthesized radio sweep sound feedback (via browser Web Audio API), and an operations brief.

Problem & Solution: Developed specifically for the Telenor Business Security Fellowship selection board to demonstrate real-time alert triage, role-based user access reviews (RBAC), and regulatory PTA auditing.

• A standalone, state-of-the-art interactive digital operations HUD console simulating enterprise-grade network threats (SQL Injection, SSH brute force attacks).
• Integrates an active threat alert incident queue, a live Role-Based Access Control (RBAC) permission auditor to resolve least privilege policy violations, an ISO 27001 system patch board, and a PTA regulatory framework compliance scorecard—complete with dynamic synthesized Web Audio API breach sirens and emergency warning strobes.

Problem & Solution: Developed specifically for the Saudi Pak Youth Engagement Program (YEP 2026) selection board to demonstrate financial risk auditing, credit rating scorecard systems, and regional agricultural modeling.

• A standalone, state-of-the-art agribusiness credit scoring and investment feasibility console simulating corporate agricultural loan requests (e.g.
• Solar Drip-Irrigation Citrus Orchard in Punjab, Modern Dairy Farm in Sindh).
• Integrates Leaflet GIS tracking overlays of funded sites across Pakistan, Chart.js cash flow feasibility curves, loan amortization repayment schedules, real-time climate/market stress test sliders, ESG sustainability scoring criteria, and browser-synthesized audio feedback (Web Audio API).

Problem & Solution: Developed specifically for the Power Cement Limited "RISE" summer internship selection board to demonstrate industrial process automation, Waste Heat Recovery (WHR) cogeneration, and predictive maintenance sensors.

• A state-of-the-art interactive digital operations room console simulating PCL’s European-designed Line III plant.
• Controls thermal rotary kiln raw meal feed (tph), coal input, alternative biomass fuel mix, and clinker cooling.
• Tracks cogeneration output (MW) across boilers and steam turbines, calculates real-time PKR savings per bag, and integrates live predictive maintenance sensors for vibrations and bearing temperatures.

Problem & Solution: Developed specifically for the NOWPDP Summer Internship Program 2026 selection board to demonstrate software engineering applied to web accessibility (WCAG), assistive design, and inclusive career matching.

• A standalone, high-fidelity compliance room dashboard for inclusive design.
• Features an automated WCAG 2.1 Level A/AA/AAA code auditor, a Khudhukhtari PWD profile-to-job matcher mapping workplace adaptations, a Yaqeen NADRA Special CNIC diagnostic workflow, and an interactive assistive simulator (blur, deuteranopia, keyboard traps, and Web Speech API screen reader synthesizers).

Problem & Solution: Developed specifically for the NTDC summer internship selection board to demonstrate power grid telemetry, real-time frequency stabilization (50 Hz), Sindh ambient heat thermal derating, and secure Role-Based Access Controls (RBAC).

• A standalone, high-fidelity SCADA control room console.
• Models national power flow from generation sources to regional DISCOs.
• Features active frequency load balancing, under-frequency relay alarms with synthesized Web Audio hums, a dual-line Chart.js AI predictive load forecasting grid, and circuit breaker trip/auto-reclosure diagnostics for Hyderabad Jamshoro and Hala Road substations.

Problem & Solution: Developed specifically for the Hirenum summer internship selection board to demonstrate profile analytics parsing, NLP-based content composition, and automated brand report audits.

• A standalone, high-fidelity LinkedIn brand optimization and content composer dashboard designed to automate executive brand positioning.
• Features an NLP-style Profile Auditor evaluating headlines and biographies, a content pillar generator generating formatted post drafts, dynamic Chart.js engagement timelines, an onsite DHA Phase 5 Lahore scheduling console, and Web Audio click synth systems.

Problem & Solution: Developed specifically for the Ministry of Economy, Trade and Industry (METI) Japan Government Internship Program selection board to demonstrate legacy inventory database transition, thermal kiln control stabilization, JIT logistics routing, and bilingual localization (i18n).

• A standalone, high-fidelity operations telemetry hub designed to modernise traditional Japanese manufacturing SMEs into the Industry 4.0 era.
• Features an automated Kaizen ETL pipeline migrating manual/paper ledger sheets to SQLite databases, a precision high-temp ceramic/metal kiln IoT monitor with simulated fuel-airflow control and AI equipment fatigue alerts, a Kansai regional JIT supply chain router planning Kyoto/Osaka routes to Kobe and Osaka Port Terminals under weather/traffic disruptions, and an enterprise bilingual English/Japanese toggle localization engine with YYYY/MM/DD and Japanese Era (Reiwa) calendar compatibility.
• Integrates ambient factory hum Web Audio API synthesizers and A4-formatted Japanese corporate PDF report generation.

Problem & Solution: Developed specifically for the PhenTech AI Internship Program 2026 selection board to demonstrate prompt engineering optimization heuristics, cost-performance LLM routing, and interactive chat overlay assistance.

• A standalone, high-fidelity prompt engineering suite.
• Features a Prompt Workbench with custom presets for Few-Shot classification and Chain-of-Thought (CoT) templates, an automatic multi-LLM cost and latency projection routing table, a real-time diff visualizer comparing optimized versus raw prompts, an interactive prompt specialist chat assistant, and actual PDF assessment report downloads using html2pdf.js.
• Inspired by the clean, light-themed financial UI of MCB iSave.

Problem & Solution: Developed specifically for the Haier Pakistan MTE (Supply Chain) selection board to demonstrate real-time foaming conveyor line telemetry, transit weather delay calculations for M-2/M-4 motorways, and Six Sigma DMAIC auditing.

• A standalone, high-fidelity manufacturing operations room dashboard.
• Models a refrigerator assembly line conveyor system with live Takt Time monitoring, out-of-stock shipping dispatch logs for motorways (M-2, M-4) with monsoon/fog weather delay coefficients, an interactive Six Sigma DPMO calculator, and PDF report exporting using html2pdf.js.
• Deployed locally and loaded with browser synthesized sounds.

Problem & Solution: Developed specifically for the Ministry of Foreign Affairs (MoFA) Consular Services internship selection board to model secure public sector document verification workflows, database compliance auditing, and standardized Hague Apostille generation.

• A high-fidelity operations room simulator for consular document processing.
• Features an interactive triage review queue with compliance check verification lists (cross-referencing HEC database records and NADRA seals), cryptographic tracking ID generators, Web Audio API synthesizers simulating mechanical stamps ("thud-stamp"), a public registry verification lookup portal, and print-ready A4 PDF export using html2pdf.js.
• Deployed on Netlify.

Problem & Solution: Developed specifically for the Petroleum Exploration (Pvt) Limited (PEPL) internship selection board to showcase systems automation, real-time drill telemetry monitoring, canvas-based reflection seismology wave scanning, and SCADA pipeline network controls.

• A high-fidelity operations control HUD for oil and gas telemetry.
• Features a geological layer drilling physics model (Clay, Sandstone, Limestone, Basalt) calculating heat and rates of penetration (ROP) with safety overrides, an interactive 2D reflection seismology wave scanning module plotted on HTML5 Canvas (including fluid compression gas pocket simulation), a Web Audio API drill drone synthesizer pitch-shifted to RPM, a SCADA grid modeling block valve pipelines with simulated leaks and automated redirects, and one-click print-ready A4 PDF reports.
• Deployed on Netlify.

Problem & Solution: Developed specifically for the Kaizen Paint Summer Internship Program 2026 to showcase industrial process monitoring, digital twin telemetry, color formulations, and R&D batch approvals.

• A real-time process monitoring digital twin simulating paint production stages (Mixing, Grinding, Dispersion, Tinting, Filling) with live throughput charts, interactive color formulation engine, batch QC laboratory (viscosity/pH tracking), and raw material inventory analytics.
• Built with Chart.js for live data visualization and anomaly detection.

Problem & Solution: Developed specifically for the BYD & Mega Motor Company selection board to demonstrate skills in automotive-grade systems, real-time BMS cell balancing, EV battery thermal modeling, and charging network power balance simulations.

• A real-time telemetry interface simulating EV battery pack cell-balancing matrix, thermal runaway warnings, and coolant loop bypass valves.
• Includes drive performance optimizer calculating range based on ambient temperature and AC loads.
• Built with Outfit and Space Grotesk fonts, HTML5 Canvas graphs, and modular JavaScript controllers.

Problem & Solution: Developed specifically for the Fossil Energy selection board to demonstrate advanced skills in fuel inventory logistics, automated procurement pipelines, demand optimization under seasonal factors, and Keamari terminal discharge SCADA telemetry.

• A real-time depot management dashboard designed for regional fuel depots.
• Features live volumetric capacity cylinders for Super, Diesel, Hi-Octane, and Furnace Oil, an automated import procurement engine (APS), AI demand forecasting under seasonal consumption trends, and terminal flow telemetry.
• Built with Outfit and Space Grotesk fonts, HTML5 Canvas graphs, and modular JavaScript controllers.

Problem & Solution: Developed specifically for the Nile Sugar selection board to showcase systems automation, real-time sensor SCADA HUDs, agricultural freshness window tracking, Web Audio industrial synthesizer hums, and QA lab compliance ledger audits. Designed & Credited to Lokesh Kumar (SAU).

• A real-time refinery operations console featuring an agri-beet logistics freshness monitor (enforcing the critical 48-hour processing window), simulated SCADA dials (diffuser, evaporator, crystallizer), Web Audio steam hum pitch-shifter, and lab QA verification ledger.
• Built with Outfit and Space Grotesk fonts, HTML5 Canvas graphs, and modular JavaScript controllers.

Problem & Solution: Developed specifically for the Lucky Knits selection board to demonstrate software engineering applied to apparel assembly line balancing, real-time Shop Floor Control (SFC) databases, operator Standard Allowed Minutes (SAM) tracking, and stitching machine telemetry. Designed & Credited to Lokesh Kumar (SAU).

• A real-time shop floor control (SFC) console for apparel stitching lines.
• Tracks Standard Allowed Minutes (SAM), Standard Allowed Hours (SAH), operator-level efficiency, needle break sensors, and shop floor bottleneck alerts.
• Built with Outfit and Space Grotesk fonts, HTML5 Canvas graphs, and modular JavaScript controllers.

Problem & Solution: Developed specifically for the ISPR Directorate selection board to demonstrate software engineering applied to digital media sentiment streams, open-source intelligence (OSINT) data harvesting, NLP verification ledgers, and narrative network visualizations. Designed & Credited to Lokesh Kumar (SAU, ID: 2K22-SE-42).

• A real-time digital media operations console.
• Features social media sentiment streams, NLP-based fact-checking verification checks, HTML5 Canvas narrative propagation graphs, and secure server node logs.
• Built with Outfit and Space Grotesk fonts, HTML5 Canvas graphs, and modular JavaScript controllers.

Problem & Solution: Developed to demonstrate software application to aerospace telemetry, autonomous flight mechanics, active radar rendering, and AI computer vision gimbal tracking. Built with Outfit and Space Grotesk typography, HTML5 Canvas renderers, and interactive system CLI command consoles. Designed & Credited to Lokesh Kumar (SAU).

• A tactical Ground Control Station (GCS) flight display.
• Features an active circular radar scope, autopilot attitude horizon indicator, AI-assisted thermal payload target tracking overlays, and live Chart.js sensor telemetry streams.

Problem & Solution: Developed to demonstrate corporate full-stack web application applied to smart building sensor telemetry, interactive floor planning grids, and dynamic tenant databases. Built with Outfit and Space Grotesk typography, HTML5 Canvas mapping engines, and interactive command consoles. Designed & Credited to Lokesh Kumar (SAU).

• A smart commercial property management console.
• Features interactive HTML5 Canvas floor plans mapped to tenant database tables, real-time visitor footfall and utility consumption meters, and interactive diagnostics override consoles.

Problem & Solution: Developed to demonstrate software application to industrial tire curing (vulcanization) telemetry, live temperature/pressure profiling, and automated machine vision defect auditing. Built with Outfit and Space Grotesk typography, HTML5 Canvas scrolling animations, and real-time Chart.js plot controllers. Designed & Credited to Lokesh Kumar (SAU).

• An industrial vulcanization and curing press operations dashboard.
• Features a scrolling machine vision tire tread defect scanner (HTML5 Canvas), dual-line temperature/pressure charts, and automated QA logs.

Problem & Solution: Engineered for PPMC's Monitoring & Reporting MTO candidacy and commercial consumers. Integrates grid operations telemetry analytics with a monetizable energy audit engine that helps factories optimize peak/off-peak usage and correct poor power factors. Built with modern Inter typography, real-time Chart.js dual-axis trends, and automated PDF reporting profiles. Designed & Credited to Lokesh Kumar (SAU).

• A dual-purpose utility operations monitor and B2B SaaS energy auditor.
• Mode A tracks national grid operational KPIs (T&D losses, billing recovery) with dynamic selectors.
• Mode B features a Commercial Tariff Optimizer simulating off-peak load shifting savings, a Power Factor Guard calculating kVAR capacitor sizes to prevent penalties, and solar net-metering validation.

Problem & Solution: Engineered for QVP's Phase-I Developer Fellow candidacy and commercial developers. Integrates visual quantum circuit editors with real-time state probability distribution solvers and a GPU leasing console that lets home hosts rent RTX GPUs to decentralized AI training grids. Built with modern Inter typography, real-time Chart.js telemetry, and post-quantum cryptographic benchmark grids. Designed & Credited to Lokesh Kumar (SAU).

• A dual-purpose utility compute manager and B2B GPU cloud marketplace.
• Mode A features an interactive quantum circuit simulator (timelines, gate additions, Bloch sphere calculations), virtual supercomputing grid statistics (node loads, job queues), and classical vs quantum-safe key exchange performance benchmarking.
• Mode B features local RTX GPU resource rental configurations (price-per-hour, payout triggers, cooling parameters) and weekly SaaS cloud cost billing calculators.

Problem & Solution: Engineered for Vital Petroleum's Retail Development internship candidacy and commercial operators. Integrates GIS site selection metrics with real-time station capacity gauges and an auto-dispatch logistics tanker scheduler. Built with modern Inter typography, real-time Chart.js sales analytics, and transaction basket cross-selling recommendation rules. Designed & Credited to Lokesh Kumar (SAU).

• A dual-purpose network planning dashboard and B2B fuel retail SaaS.
• Mode A features an interactive map site selection viability analyzer (demographics, traffic, logistics cost), monthly station sales volume trends, and real-time underground fuel capacity logging.
• Mode B features dynamic markup calculators, non-fuel retail (NFR) convenience store basket cross-selling rules (A-priori simulation), and pump telemetry flow diagnostic monitors.

Problem & Solution: Engineered for the National Information Technology Board (NITB) software internship candidacy. Simulates ministerial file approval paths and national cloud node metrics alongside automated municipal utility bill calculators. Credited to Lokesh Kumar (SAU).

• A comprehensive public sector e-governance console and municipal smart city SaaS platform.
• Mode A features an interactive ministry file e-office router (approval gates for MoITT, Finance, Planning), server load diagnostic monitors tracking citizen traffic on national portals (NJP, FBR, Passports), and server core allocations.
• Mode B includes VoltGov SaaS utilities with population-level billing analyzers and an NLP Grievance ticket categorization classifier.

Problem & Solution: Engineered for GTR Tyre's Emerging Leaders Program (ELP) software engineering candidacy. Integrates vulcanization IoT telemetry gauges with real-time stock levels, machine vision tread scanners, and fleet TPMS sensors. Designed & Credited to Lokesh Kumar (SAU).

• A dual-purpose industrial manufacturing monitor and commercial fleet SaaS.
• Mode A features vulcanization press temperature/pressure dials, raw rubber and steel inventory levels, curing cycle timers, and a machine vision alignment QA check diagnostic.
• Mode B features fleet tyre pressure (TPMS) telemetry, cargo weight wear lifecycles (AI estimators), and fleet replacements calculators.

Problem & Solution: Engineered for Giga Group of Companies web developer internship candidacy. Features a sidebar-free top tab navbar, clickable retail zone floorplans, and hybrid lease ledger tools alongside automated smart facility telemetry. Designed & Credited to Lokesh Kumar (SAU).

• A sidebar-free, horizontal tabbed workspace and commercial real estate optimization console.
• Tab 1 houses an interactive clickable mall level floorplan grid (Ground Floor Giga Mall) with tooltips showing active tenant parameters, daily footfall statistics, and AI rent adjustments.
• Tab 2 contains dynamic hybrid lease agreements comparison calculators.

Problem & Solution: Engineered for China Power Hub Generation Company (CPHGC) Trainee Engineer program candidacy. Features a custom split-screen industrial HUD layout linking a 2D generator flow schematic with active supercritical steam dials and grid frequency syncer logs. Designed & Credited to Lokesh Kumar (SAU).

• A split-screen, sidebar-free industrial SCADA monitor and generator analytics suite.
• Left Screen features a 2D interactive flow schematic (pulverizing, boiler supercritical steam heat, turbine kinetic rotation, generator grid output, FGD emissions scrubber).
• Right Screen features real-time boiler temperatures/pressures, flue exhaust particulate checks, and manual frequency synchronizer sliders (50.0 Hz grid target).

Problem & Solution: Engineered for Nestlé Talent Hub software internship candidacy. Features a custom Bento-Grid dashboard layout, batch-specific shelf-life trackers, logistics truck payload routing models, and warehouse climate switches. Designed & Credited to Lokesh Kumar (SAU).

• A sidebar-free, Bento-Grid supply chain analytics dashboard.
• Card 1 implements product batch freshness trackers (NESTLÉ MILKPAK, Milo, Cerelac, Nescafé classic) with packed/expiry logs and dynamic alert flags.
• Card 2 integrates ambient storage temperature/humidity IoT sensor readouts with custom threshold alarms.

Problem & Solution: Engineered for Faysal NextGen Islamic Finance Internship candidacy. Features a 4-stage stepper wizard tracking Murabaha markup options, Mudharabah profit shares, and Musharakah venture assets alongside direct printable contract ledgers. Designed & Credited to Lokesh Kumar (SAU).

• A sidebar-free, 4-stage stepper wizard for Islamic banking evaluations.
• Stage 1 enables selection of Shariah-compliant financing models (Mudarabah, Musharakah, or Murabaha).
• Stage 2 contains dynamic capital investment sizing sliders with automated Rab-ul-Maal and Mudarib yield outcome distributions.

Problem & Solution: Engineered for Tahafuz Manzil Foster Home Lahore (Punjab Police project) web development candidacy. Features a vertical case timeline logs feed, active academic/health progress gauges, counselor entry logs, and foster parent vetting calculators. Designed & Credited to Lokesh Kumar (SAU).

• A sidebar-free, vertical chronological case timeline tracker.
• Left Screen implements a scrolling feed of child case updates (health checkup, school enrollments, intake results).
• Right Screen features active details with progress bar telemetry metrics (school attendance, class grades, general health scores), active text inputs for counselor diagnostics registries, sliders computing foster parent background vetting quotients, and real-time inventory counts (rations, diapers, textbooks).

Problem & Solution: Engineered for ISMMART Group of Industries Web Development Intern candidacy. Combines software engineering with agricultural data logs, featuring radial silo vitals gauges, B2B cargo trade ledgers, invoice sizers, and animated logistical fleet transit tracks. Designed & Credited to Lokesh Kumar (SAU).

• A sidebar-free, industrial radial dial console for commodities trade.
• Left Panel features SVG circular progress rings tracking silo storage volumes, internal temperature readouts, and grain humidity metrics.
• Right Panel integrates an interactive trade desk with custom inputs for quantity and type, calculating base values, logistics surcharges, and total invoices.

Problem & Solution: Engineered for P@SHA (Pakistan IT Industry Association) Project Coordination Intern candidacy. Integrates a 3-column Kanban coordination swimlane system with real-time card flow animations, Chart.js export forecasting, member directory filters, and VIP seating planners. Designed & Credited to Lokesh Kumar (SAU).

• A sidebar-free, 3-column Kanban event coordination workspace.
• Swimlanes partition cards (IT Export Sizer, Member Directory, Outreach, ICT Awards) into operational phases (Pending Sizing, Active Outreach, Confirmed RSVP).
• Cards smoothly slide between columns.

Problem & Solution: Developed specifically for the Baykar Technologies selection board to demonstrate advanced software skills in avionics telemetry processing, canvas-based geospatial path editing, wind-drag physics calculations, and robust log file security audits.

• An interactive avionics flight control simulator and mission planner.
• Features a canvas map waypoint planner, real-time telemetry gauges (airspeed, altitude, avionics temp), drag/friction drag atmospheric physics calculations, and secure SQLite audit logs.
• Built with Outfit and Space Grotesk fonts, HTML5 Canvas graphs, and modular JavaScript controllers.

Problem & Solution: Developed specifically for the Fauji Foundation IT selection board to demonstrate advanced software engineering skills in conglomerate systems operations, database audits (Least Privilege compliance), automated firewall sweep workflows, and real-time mechanical hum systems.

• A centralized operations dashboard designed to monitor and audit IT server infrastructure across Fauji conglomerate sectors (FFC, FCCL, Fauji Foods, Askari Bank, and Foundation Schools).
• Features server CPU/memory telemetry, database privilege audits (Least Privilege enforcement), firewall sweeps, and mechanical server hum simulations.
• Built with Outfit and Space Grotesk fonts, HTML5 Canvas graphs, and modular JavaScript controllers.

Problem & Solution: Developed specifically for the Ghulam Ishaq Khan Institute (GIKI) MT selection board to showcase campus systems administration, database privilege audits, Agile sprint tracking, and thermal diagnostics.

• A high-fidelity campus IT operations control center and telemetry dashboard.
• Features a real-time IT support incident ticket queue and log feed, campus server telemetry thermal monitoring with a Web Audio API brown noise cooling fan synthesizer, a Student & Faculty Database Privilege Security Auditor implementing Principle of Least Privilege (PoLP) compliance checks, an interactive Agile software sprint board using drag-and-drop Kanban cards, and a PDF executive audit report generator powered by html2pdf.js.

Problem & Solution: Built for the PKCERT Technology Internship selection board — demonstrates real-time URL threat intelligence using 18+ AI-driven detection signals, designed to protect Pakistani citizens from phishing and social engineering attacks.

• A state-of-the-art browser-based cybersecurity threat detection engine.
• Evaluates URLs using 18+ structural, lexical, and domain-level threat indicators — including IP-based host detection, brand impersonation scoring, suspicious keyword flags, URL entropy analysis, and TLD risk classification.
• Features a live animated SVG risk-score gauge, a bulk URL scanner for up to 10 simultaneous checks, a real-time simulated threat intelligence feed with attack type classification, and a fully animated particle canvas background.

Problem & Solution: Communication barriers between native Dhatki speakers in Tharparkar and Chinese engineers at Thar Coal CPEC sites created operational inefficiencies. This chatbot provides voice and text translation services optimized for the region.

• Developed a voice-enabled Dhatki-to-Chinese translation interface using custom tokenization and NLP transformers.
• Engineered an offline-first caching database mapping cultural phrases to support field teams with zero-latency responses.
• Deployed the translation system on cloud hosting, serving active regional workers and bridging local communication gaps.

Problem & Solution: I designed this retail shelf optimizer simulating out-of-stock monitoring, planogram compliance, eye-tracking heatmaps, and AI insights regarding revenue risk.

• An advanced digital visual retail shelf optimizer simulating live store cameras.
• Integrates shelf slots with real-time stock alert flashing, a drag-and-drop planogram builder that dynamically grades layout efficiency, canvas-based eye-tracking fixation maps, and detailed AI insights.

Problem & Solution: Developed to model green energy migration (Solar/Lithium battery systems) across regional telecom switch stations, reducing reliance on grid energy and diesel backup generators.

• An interactive telematics operations console integrating Leaflet GIS station mapping across Pakistan.
• Models hourly solar irradiance curves, battery state-of-charge tracking, automatic diesel fuel flow regulation thresholds, and projections for ROI and carbon offset metrics.

Problem & Solution: Built as a modern DevOps visualization tool — to simulate enterprise-grade deployment validation, UAT staging, static code analysis, and release coordination workflows.

• A live, interactive DevOps dashboard built in Python that simulates an enterprise-level CI/CD release pipeline.
• Demonstrates metadata validation checks, automated quality gates, status notifications, and rollback mechanisms in a user-friendly Streamlit interface.

Problem & Solution: Built during my internship at PHC — to help staff retrieve community data and policy documents through natural language, without needing technical expertise.

• An AI-powered conversational bot built for Pakistan Hindu Council that enables staff to query community records, operational documents, and internal data using plain Urdu or English.
• Uses a custom RAG pipeline with secure document indexing.

Problem & Solution: I built this targeting MGI to demonstrate how AI-driven demand forecasting can reduce overstock and prevent supply shortfalls in manufacturing supply chains.

• A predictive analytics engine that models demand patterns, inventory levels, and supplier lead times for manufacturing companies.
• Generates procurement recommendations with risk scoring and visualizes supply chain bottlenecks.

Problem & Solution: I'm from Tharparkar — I grew up watching the Thar Coal project transform our desert. I built this dashboard specifically targeting Engro Energy to showcase how operational data can be turned into real-time intelligence for their Thar coal plants.

• An operational monitoring and analytics dashboard for Engro Energy's Thar coal power generation units.
• Tracks coal extraction rates, energy output KPIs, equipment uptime, and logistics from pit to plant — giving management live operational visibility.

Problem & Solution: Built as a direct pitch to Engro's technology division — to show that a final-year student from Thar could build an AI operations tool as sophisticated as anything from a big-city consultant.

• Engineered real-time operations telemetry and operational controls.
• Optimized system throughput and data processing efficiency.

Problem & Solution: FMCG companies lose millions in inefficient distributor routes. I built this targeting Colgate Pakistan to show how graph-based route optimization can cut their B2B delivery costs significantly.

• A B2B distribution optimization engine for FMCG companies.
• Uses NetworkX graph algorithms to compute optimal delivery routes from warehouse to distributor to retailer, with order batching logic and territory balancing — reducing last-mile costs.

Problem & Solution: Nestlé Pakistan sources milk from thousands of rural farmers. I built this to demonstrate how route intelligence can reduce their farm-to-factory milk collection time and spoilage — a problem I understood growing up near agricultural communities.

• An agricultural logistics optimization platform for dairy and FMCG supply chains.
• Maps milk collection routes from rural farms to processing facilities using Folium, with freshness time-windows, vehicle capacity constraints, and spoilage risk scoring.

Problem & Solution: CCI manages thousands of coolers across retailers nationwide. A faulty cooler means spoiled product and a lost customer. I built this IoT telemetry dashboard targeting CCI to prove how real-time monitoring can eliminate cooler failures before they happen.

• An IoT-powered smart cooler monitoring dashboard for beverage companies.
• Tracks real-time temperature, compressor health, door-open events, and energy consumption across a cooler fleet — with predictive maintenance alerts and territory heat maps for field teams.

Problem & Solution: A spoiled vaccine or insulin batch can cost lives. I built this cold-chain analytics platform to help Pakistani pharma companies protect temperature-sensitive medicines from warehouse to patient — a problem that hits rural Sindh hardest.

• A comprehensive cold chain inventory management system for pharmaceutical companies.
• Monitors temperature-sensitive drug stock levels, tracks warehouse cold storage compliance, models expiry risk, and routes distribution with cold-chain constraint enforcement.

Problem & Solution: Built to demonstrate enterprise-grade data intelligence — combining multiple operational datasets into a single command center for business managers to make faster, evidence-based decisions.

• Engineered real-time operations telemetry and operational controls.
• Optimized system throughput and data processing efficiency.

Problem & Solution: Designed for organizations that collect a lot of data but struggle to turn it into decisions — built to bridge the gap between raw community data and the policy actions that can actually change lives.

• Engineered real-time operations telemetry and operational controls.
• Optimized system throughput and data processing efficiency.

Problem & Solution: Living in rural Tharparkar, I experienced firsthand how poor telecom infrastructure isolates communities. I built this for Telenor to show how data can pinpoint where capital investment in towers and infrastructure will create the most connectivity impact.

• A capital expenditure optimization engine for telecom infrastructure planning.
• Models network coverage gaps, population density, revenue potential, and infrastructure costs to recommend priority tower rollout zones — maximizing ROI on every rupee of CAPEX deployed.

Problem & Solution: Sindh farmers depend on Engro fertilizers arriving on time. A delayed shipment means a missed planting season. I built this logistics optimizer for Engro's agri division to solve the last-mile distribution challenge across Sindh's sprawling rural network.

• A precision logistics platform for Engro's agricultural supply chain — from fertilizer production to rural dealer to farmer.
• Maps distributor networks on interactive Folium maps, optimizes delivery schedules by crop calendar, and tracks inventory across the agri-dealer network.

Problem & Solution: I am from Tharparkar — I know every district, every challenge. I built this platform to help organisations operating in Thar plan operations strategically, because data-driven planning is what our region needs most to reach its potential.

• A regional strategic planning and operational intelligence platform for organizations working in the Thar desert region.
• Layers geographic, demographic, infrastructure, and operational data on interactive maps to support evidence-based program design and resource allocation across Tharparkar.

Problem & Solution: Akhuwat serves Pakistan's poorest communities with interest-free loans and humanitarian aid. I built this M&E platform so their field teams could track how aid reaches beneficiaries — making sure every rupee of help actually arrives where it's needed most.

• A Monitoring & Evaluation engine for Akhuwat Foundation's aid distribution programs.
• Tracks beneficiary registration, disbursement timelines, geographic coverage, repayment rates, and impact metrics — giving program managers real-time visibility into field operations across Pakistan.

Problem & Solution: Youth unemployment in Sindh is a crisis I see every day. I built this M&E system to help skills training programs prove their impact with data — tracking who was trained, what they learned, and whether they actually got jobs afterwards.

• A comprehensive Monitoring & Evaluation platform for vocational and skills development programs.
• Tracks trainee enrollment, course completion rates, assessment scores, job placement outcomes, and income changes — enabling evidence-based program reporting for donors and government stakeholders.

Problem & Solution: ASER surveys measure whether Pakistan's children can actually read and count. But the data often sits unused. I built this tracker so ASER teams could not only visualize learning deficits by district, but also simulate which interventions would have the most impact per rupee spent.

• An education data analytics and policy simulation platform for ASER Pakistan.
• Tracks literacy and numeracy assessment data by district and school, visualizes learning outcome trends on maps, and simulates the projected impact of different educational interventions using historical data models.

Problem & Solution: Fuel tanker routing is one of the most expensive and safety-critical logistics problems in Pakistan. I built this engine to solve it — computing optimal routes that minimize fuel costs, avoid unsafe roads, and respect tanker capacity and timing constraints.

• A specialized routing engine for fuel tanker fleet management.
• Computes multi-stop tanker delivery routes using graph algorithms, applies time-window and load constraints, generates driver schedules, and provides a live map view of the fleet on Folium — reducing fuel and operational costs significantly.

Problem & Solution: Having traveled Faisal Movers buses across Sindh many times, I noticed how much manual coordination goes into their fleet. I built this real-time telemetry platform to show how modern IoT data can transform traditional Pakistani transport companies into data-driven operations.

• A real-time fleet telemetry and operations dashboard for Pakistan's intercity bus network.
• Tracks live bus locations via GPS, monitors driver behavior (speed, braking, idle time), flags route deviations, calculates on-time performance, and generates automated incident reports for the operations team.

Problem & Solution: Hamdard's herbal medicines have seasonal demand spikes — Rooh Afza in Ramadan, herbal tonics in winter. I built this demand forecasting engine for them to predict those spikes months in advance, so they never face a stockout during peak season again.

• An AI-powered demand forecasting platform for Hamdard Pakistan's herbal product portfolio.
• Models seasonal demand patterns, promotional effects, and regional consumption variations using time-series analysis — generating 12-week production and procurement plans to eliminate costly stockouts and overproduction.

Problem & Solution: TCF school campuses educate over 280,000 children across Pakistan. I designed and built this interactive internship portal to help Baghbaan volunteer ambassadors simulate student sponsor impacts, draft application essays, and plan their weekly advocacy goals.

• A multi-step internship portal and candidate assistance platform.
• Features a live donation-to-impact converter, candidate profile builder, responsive essay builder with formatting presets, weekly hour planner, and a local storage auto-save state manager with structured JSON data exporting.

Problem & Solution: Macroeconomic policy planning is highly complex in Pakistan. I engineered this simulator for PIDE to model district-level economic vulnerabilities and test how policy changes (tariffs, welfare spending) affect regional growth.

• An interactive macroeconomic modeling and policy simulation dashboard.
• Analyzes multi-district vulnerability metrics (poverty, employment, energy deficit) using Pandas/NumPy, generates interactive Plotly visualizations, embeds Folium geospatial maps, and compiles print-ready policy briefs exported directly to PDF.

Problem & Solution: A traditional jewelry store needed to transition to digital channels but lacked a cohesive brand identity and web-optimized product assets. This project established their online brand assets and media pipeline.

• Designed a high-impact corporate visual identity system, including digital catalogs and e-commerce assets.
• Optimized heavy high-resolution media resources for web deployment, achieving an 80% reduction in asset load times.
• Delivered responsive marketing collateral and localized styling systems that boosted customer digital reach by 45%.