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🎓 A full-stack MERN + Machine Learning app where teachers can manage student records and predict academic outcomes (Pass/Fail) using a trained ML model based on attendance, study habits, and performance.
🫀 This project detecting cardiovascular diseases using PCG, ECG, and PPG signals. It combines advanced signal processing, feature extraction, and machine learning models to analyze heart health, identify murmurs, and support clinical decision-making for early diagnosis and remote monitoring.
An AI-based inventory optimization system that leverages machine learning to predict demand, recommend menu items, and streamline stock management for restaurants and food service businesses.. — all deployed through a real-time Stream lit web app.
RN-WALLET is a full-stack expense tracker built with React Native (Expo) and Node.js + Express, powered by PostgreSQL (Neon), Clerk authentication, and Redis. It includes an ML microservice for automatic transaction categorization, real-time summaries, and custom analytics, delivering a secure and intelligent financial tracking experience.