⚡ FlexPrime · Academic Companion for FASTians
React Native Expo Supabase
Solo-built, live on GitHub Releases. Replaces the official FAST-NUCES Flex portal with marks analytics, attendance risk tracking, timetable export, past papers hub, teacher reviews, GPA calculators, and more — built late nights between exams.
📊 live marks diff · 🎯 attendance risk · 📚 materials hub · 🧮 SGPA/CGPA · 🎨 custom UI
🗒 NotePrime · Material You Fork of Note Safe
Flutter Supabase Libsodium
A ground-up Material 3 redesign of the open-source Note Safe app. End-to-end encrypted, local-first, with a fully overhauled UI — asymmetric chat bubbles, panorama-aware media viewer, per-group privacy shield, biometric grace periods, and Google Fonts integration.
🎨 Material You · 🔒 App-Lock Shield · 👁 privacy shield · 📸 10× pinch zoom · 🔤 Google Fonts
⚔ ClashPrime · Premium Clash of Clans Companion
React Native Expo TypeScript
Premium monochrome companion app for Clash of Clans — track your progress, manage armies and bases, explore building levels, and stay on top of events.
🏠 dashboard · ⚔️ army · 🏰 80+ buildings · 📅 events · 🗄 base library · 🎖 awards
⏱ Timers Management App · Android Multi-Timer
React Native
Android app for managing multiple simultaneous timers. Reliable notifications, clean UI, zero bloat.
🏛 Smart University Hub · Full-Stack Web Platform
React Node.js Express MSSQL
Full-stack web platform for managing university academics, events, and campus resources. REST backend with a student-first frontend.
🎓 University Flex Portal · University Flex Management
Java JavaScript CSS
Web app for university flex management — streamlined UX over the default portal with cleaner data flows and improved accessibility.
🖥 Smart University Hub — Desktop · Native Windows Companion
C# WinUI
Native Windows companion to the web platform. Offline-capable, faster, and purpose-built for the desktop workflow.
🔬 NLP Robustness Study · Linguistic Robustness in Small LLMs
Python HuggingFace Flan-T5 mT5
Systematic evaluation of linguistic robustness in small LLMs across 3,600 paraphrase-output pairs. Tests 4 paraphrase types × 2 models × 3 tasks. Key finding: inconsistency is a model-level property, not input-driven.
📉 Student At-Risk Detection · Unsupervised Withdrawal-Risk Prediction
Python scikit-learn OULAD
Unsupervised clustering + anomaly detection (LOF, Isolation Forest, DBSCAN) on 32,593 students to identify withdrawal risk with no labelled training signal. LOF F1: 0.305 — 1 in 3 flagged students genuinely at risk.
👁 Feature-Based Object Tracker · Classical CV Pipeline
Python OpenCV NumPy
Classical CV pipeline — Harris corners + pyramidal Lucas–Kanade optical flow. User draws a bounding box; tracker propagates it across frames with loss detection and greedy re-detection. No training data required.
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