My Projects
Explore my portfolio of innovative AI solutions, machine learning systems, and full-stack applications
CliniQ
An intelligent hospital management system that revolutionizes patient care through AI-driven appointment scheduling. The system prioritizes patients based on urgency and medical conditions, integrating real-time notifications via Twilio API. Features include smart queue management, doctor availability tracking, and automated patient communication to reduce wait times and improve healthcare delivery.
SafeRoute
A comprehensive safety-first navigation system powered by machine learning algorithms. Analyzes real-time crime data, street lighting conditions, pedestrian traffic, and user feedback to provide the safest possible routes. Integrates with Google Maps API to offer multiple route options with safety ratings, making urban navigation secure for everyone, especially during night hours.
Academic Setu
AI-based timetable generation system that uses constraint optimization to create practical schedules. Handles faculty and classroom conflicts through custom conflict-resolution logic, generating conflict-free timetables efficiently for academic institutions.
Fake News Management System
An advanced ML-powered platform that combats misinformation by detecting and classifying fake news articles with high accuracy. Utilizes NLP techniques, TensorFlow models, and scikit-learn algorithms to analyze text patterns, source credibility, and linguistic features. Includes a Streamlit dashboard for real-time news verification and content authenticity scoring.
AI Chatbot
An intelligent conversational assistant built with advanced Natural Language Processing capabilities. Provides instant query resolution, customer support automation, and contextual conversations. Features include intent recognition, multi-turn dialogue management, and Firebase integration for persistent chat history. Perfect for businesses looking to enhance customer engagement and support efficiency.
Event Image Finder
Hackathon-winning project (Hackotsava 2025) that leverages computer vision and facial recognition to automatically detect and retrieve event photos. Upload your selfie and the system finds all event photos containing you using deep learning models. Features include batch processing, cloud storage via Firebase, and a React-based gallery interface for seamless photo discovery.