Projects

Built a real-time facial emotion recognition system using CNNs, OpenCV, and Keras to classify emotions. Trained on the FER dataset with data augmentation.

Implemented a portfolio optimization system using Modern Portfolio Theory to maximize expected returns while minimizing risk based on investor risk tolerance.

Developed an anomaly detection framework for system and network logs using LSTM Autoencoders and Isolation Forest to identify abnormal behavior.

AI-driven hospital appointment and queue management system that predicts OPD crowd levels and recommends optimal appointment slots.