PROJECTS

Drishti

Built a facial-recognition-based automated attendance management system using OpenCV and deep-learning facial embeddings to automate classroom entry/exit tracking on a per-slot basis. The system was designed with a multi-camera architecture for high-accuracy detection across various angles, effectively handling boundary cases like occlusions and lighting variations. Implemented comprehensive modules for face detection, timestamp logging, duration computation, and CSV-based reporting. It also included a mobile application that was developed using flutter for role-based managing and attendance tracking. This project won 3rd place at the national Anokha Techfest 2023 among 100+ competing projects.

GCVAT: Smart Contract Vulnerability Detection

Published research paper titled 'GCVAT: A Hybrid Graph Convolution and Attention Model for Smart Contract Vulnerability Detection' at the RAIT (IEEE Kolkata Section) conference in 2025. Our innovative hybrid model combines Graph Convolutional Networks with attention mechanisms to analyze complex interactions and dependencies within smart contracts. The system successfully detects critical vulnerabilities including Reentrancy and Infinite Loop attacks with high accuracy. Implemented using TensorFlow for model training and deployed using Docker-based workflows for scalable vulnerability analysis.

MIS - Microirrigation Information System

Developed a comprehensive web application for agricultural agents across India to access and manage information about microirrigation systems and crop management. The platform serves as a centralized hub for farmers' agents to track irrigation system status, monitor crop health, manage farmer data, and coordinate microirrigation installations. Built with Django framework and MySQL database, the system provides a robust and scalable solution for agricultural data management with role-based access control and real-time updates.

Bcryptic

Developed during high school as a comprehensive banking website demo to demonstrate full-stack development capabilities using Python Django and PostgreSQL. The application showcases core banking functionalities including user authentication, account management, transaction processing, and balance tracking. Built with the purpose of understanding and implementing secure financial application architecture, database relationships, and transaction handling. This project served as a foundational learning experience in web development and database management.