Alumni Final Projects

Individuals, students, freelancers, and small households often struggle to track income and expenses, leading to overspending, missed budgets, and poor financial decisions. No accessible, real-time, free tool exists for Pakistani users to monitor their personal finances.

Developed a web-based personal finance and expense tracker with features including secure authentication via Supabase, a dashboard showing income, expenses, net balance, savings rate, transaction count, over-budget alerts, pie and bar charts, full transaction management (add, edit, delete, filter, search), monthly budget planner, financial reports with CSV export, and responsive layout. Built with React, Vite, Tailwind CSS, Supabase, Recharts, and deployed on Vercel. Future improvements include recurring transactions, email/SMS alerts, bank statement import, multi-currency support, and a React Native mobile app.

Students often struggle to manage multiple assignments across subjects. Without proper organization and reminders, deadlines are missed, causing stress, poor performance, and incomplete work.

Developed a centralized web app where students can add, edit, delete, and track assignments. Features include a dashboard showing total, pending, completed, and overdue tasks, search and filter functionality, alerts for upcoming deadlines, and profile management. Built using Lovable web app builder, React-based frontend, and JavaScript. Future improvements include email and WhatsApp reminders, mobile app version, push notifications, and calendar integration.

In Pakistan, thousands of children go missing each year. Families currently rely on police reports, manual posters, WhatsApp messages, or NGOs, which are slow, fragmented, and lack real-time AI-assisted matching. Critical hours after a child goes missing are wasted, and no centralized bilingual platform exists for immediate reporting and alerting.

Developed a bilingual (English + Urdu) AI-powered web app for reporting missing children and community-driven alerts. Features include AI-generated real-time alerts using Claude AI, intelligent child matching, localStorage persistence, active cases listing with filters, emergency helplines, and mobile-responsive design. Future plans include full cloud backend with Supabase, push notifications via Firebase, WhatsApp/SMS alerts via Twilio, image/voice-based AI matching, multi-language support (Sindhi, Pashto, Balochi), and native mobile apps for iOS/Android. Built with HTML5, CSS3, Vanilla JavaScript, Claude AI API, Netlify deployment, and localStorage for offline demo functionality.

Many people, especially elderly users, busy individuals, and patients with chronic illnesses, struggle to take medications on time. Manual tracking leads to missed doses, poor adherence, and potential health complications.

Developed an Android mobile app that tracks and reminds users of medication schedules, logs adherence, monitors symptoms, and provides visual reports. Features include medication CRUD (add/edit/delete), real-time reminders with snooze options, adherence calendars, symptom logging with severity levels, dashboard infographics, and caregiver-dependent functionality. Built with Kotlin, MVVM architecture, Android Jetpack, Room Database, and Material Design 3. Future improvements include cloud backup, caregiver messaging, AI medication assistant for scheduling and drug interaction guidance, data export, and multi-platform expansion.

Humanitarian aid distribution is often manual, slow, and prone to errors. Recipients, donors, and merchants lack a unified digital platform to track aid, verify transactions, and ensure transparency, leading to delays and potential misuse of funds.

Developed a social-fintech mobile application that digitizes humanitarian aid using role-based access for Admins, Donors, Merchants, and Recipients. Features include secure OTP login, biometric and PIN authentication, QR-based transactions, real-time balance and claim tracking, history logs, profile and security settings, and an admin dashboard for user management. Built with Flutter and Supabase (Auth + PostgreSQL + Edge functions) with Provider for state management. Security features include idempotency keys for transactions, hashed PINs, and offline caching. Demo mode allows quick testing with pre-configured roles and balances, enabling safe experimentation and validation of the system.

Residents in urban and semi-urban neighborhoods struggle to obtain fresh groceries and daily essentials quickly. Traditional shops have limited hours and long queues, while large delivery platforms ignore small local vendors and charge high commissions, making neighborhood stores unsustainable.

Developed a hyper-local grocery and essentials delivery platform connecting customers directly with local vendors. Features include real-time product browsing, 44-minute delivery guarantee, order tracking with visual timelines, order ratings and reviews, repeat-order functionality, distance-based delivery fees, and vendor tools for CRUD product management, low-stock alerts, sales analytics, and order status management. Built with React + Vite, Tailwind CSS + shadcn/ui, React Router, Base44 BaaS platform, and Framer Motion for animations, with state management using TanStack React Query. Data handling supports full CRUD for products, orders, and reviews.

Young students often memorize math facts without understanding the underlying concepts. Rote learning leads to confusion when advancing to more complex math, and traditional worksheets are not effective for visual learners.

Developed an Android app that converts equations into visual dot-based representations, turning abstract symbols into tangible quantities. Features include AI equation recognition using Google ML Kit, visual addition/subtraction, multiplication arrays, division sharing, quizzes, and interactive dot-based feedback. Built with Flutter (Dart) and GridView UI, the app provides immediate visual proof of math operations, helping students internalize mathematical concepts and prepare for advanced learning. Future improvements include interactive “exploding dots” for place value learning.

Remote and hybrid developers often struggle to record daily standup updates accurately. Developers forget tasks done in flow, or write vague notes, leading to poor-quality updates, wasted time, and reduced visibility for managers. This problem is common across software teams globally and affects communication and productivity.

Developed a web application that lets developers take informal, rough notes throughout the day and uses Google Gemini AI to automatically generate professional, structured standups. Key features include note tagging, blocker flags, AI-generated Yesterday/Today/Blockers sections, inline editing, history log, weekly summary, and profile/project customization. Built with React, TypeScript, Tailwind CSS, and Supabase (PostgreSQL + Auth + Edge Functions), fully deployed on Lovable Cloud. The project demonstrates real-world problem solving, AI integration, workflow optimization, and scalable UI/UX design. Future improvements include Slack integration, mobile responsiveness, tone customization, and team workspace features.