CSI Sensing for Breath Classification
Developed a classification model using CNN + BiLSTM to analyze Channel State Information (CSI) data for breath classification. This project enhances healthcare monitoring applications through non-invasive techniques.
Brain Tumor Segmentation
Designed a hybrid model integrating CNN and Vision Transformers to segment brain MRI scans, improving accuracy in detecting and diagnosing brain tumors.
Human Activity Recognition with CSI Data
Implemented a BiLSTM + GRU model to recognize human activities using CSI data. This project supports smart environment applications by enabling activity-based automation.
Heavy Metal Impact Prediction
Created a prediction model using LSTM and Random Forest to assess the health impact of heavy metal exposure. This project contributes to environmental health risk management.
Smart Store Inventory Management System
Built an Android-based inventory management application that integrates machine learning algorithms for demand forecasting and stock optimization.
Health First Aid Application
Developed a virtual health consultation app using machine learning to provide personalized healthcare guidance and remote assistance.
