Projects

Bharat Pay is a modern full-stack banking web application built with Flask, SQLAlchemy, and Tailwind CSS. It enables secure user authentication, deposits, transfers, withdrawals, beneficiary management, transaction tracking, and admin monitoring with a responsive dashboard and production-ready security features.

A robust Task Management REST API built with Flask and PostgreSQL, featuring JWT authentication, task categorization, and complete CRUD operations with soft delete functionality.

Network Intrusion Detection System using Vision Transformer achieving 98.75% accuracy. The ViT model analyzes network traffic patterns to detect anomalies and malicious activity with high precision. Built with TensorFlow/Keras, it includes performance metrics and visualization tools for effective cybersecurity monitoring.

Designed a text classification project to separate reliable news from misleading content using preprocessing, feature extraction, and model comparison.

Designed a suicide prediction model using machine learning techniques to identify individuals at risk. The model incorporates various psychological and social factors to provide accurate risk assessments.

Designed a Low Level Design implementation of a Payment Gateway System in C++ demonstrating multiple design patterns used in scalable backend systems..