Featured Projects

A selection of projects showcasing my skills in mobile development, AI, and blockchain.

V Help
Ongoing

V Help

College Services & Student Utility App

A unified college services app for academics, food, and repairs, serving 1100+ daily active users at VIT Chennai.

Problem

Students faced fragmented digital services across campus, leading to inefficient processes for food ordering, hostel management, and academic tasks.

Approach

Developed a unified Flutter application with Firebase backend, implementing real-time synchronization, secure authentication, and scalable cloud architecture.

Outcome

Successfully onboarded 1100+ active users, reduced service request processing time by 75%, and improved student satisfaction.

Flutter
Firebase
Real-time DB
Push Notifications
Cloud Functions
Campus-Scale Platform
Queez
Completed

Queez

AI-Powered Learning & Live Quiz Platform

A real-time, cross-platform learning app with WebSocket-powered live multiplayer leaderboards and AI-generated study content. Contributed to this project as a team member.

Problem

Traditional learning apps lacked real-time engagement and personalized AI-driven content generation.

Approach

Built a Flutter app with WebSocket integration for live multiplayer quizzes, AI-generated flashcards, and adaptive learning paths.

Outcome

Won 2nd place at Hack-N-Droid 2025 hackathon, built within 24 hours.

Flutter
WebSockets
AI/ML
Firebase
🏆 Hackathon Runner-Up
JunkWunk
Completed

JunkWunk

Rag Picker & Seller Marketplace

An innovative marketplace bridging rag pickers and sellers, enabling efficient and transparent trading of recyclable, non-recyclable, and donation materials.

Problem

Rag pickers lacked a structured platform to connect with sellers, leading to inefficient sourcing and unfair pricing in the recycling ecosystem.

Approach

Built a cross-platform Flutter app with AWS backend and Firebase Firestore for real-time data. Features secure Google auth, seamless buyer-seller interaction, and upcoming AI-powered image tagging.

Outcome

Deployed across Android, iOS, Web, Windows, and MacOS. Created an efficient, transparent marketplace benefiting both rag pickers and material sellers.

Flutter
AWS
Firebase
Google Auth
Cross-Platform
AWS-Powered Platform
Cyber Gallery & NFT
Completed

Cyber Gallery & NFT

Decentralized Art Gallery on Ethereum

A full-stack decentralized Web3 application on Ethereum Sepolia for minting digital art as ERC-721 NFTs.

Problem

Artists needed a decentralized platform to mint and showcase digital art as NFTs with seamless blockchain integration.

Approach

Built with Solidity smart contracts, IPFS storage via Pinata, MetaMask integration, and cyberpunk-themed frontend.

Outcome

Successfully deployed on Ethereum Sepolia with OpenSea integration and functional NFT minting capabilities.

Solidity
Node.js
JavaScript
IPFS
MetaMask
Ethereum
Web3 Platform

Deepfake Detection

Using Gait Analysis & Machine Learning

A machine learning pipeline for deepfake detection using biometric gait patterns instead of face-based cues.

Problem

Existing deepfake detection relied heavily on facial features which can be easily manipulated.

Approach

Developed temporal gait features capturing walking rhythm and joint motion patterns using CNN-based computer vision.

Outcome

Achieved improved robustness against manipulated videos by focusing on full-body movement patterns.

Python
PyTorch
OpenCV
CNN
Computer Vision
AI Research Project
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