Krish Makhijani

- Designed a Smart Battery Prediction System to improve android smartphone user experience by predicting battery discharge rates accurately. - The system takes input from data provided by android smartphone sensors like screen on/off, app usage, and network connectivity and makes time-series predictions based on advanced LSTM and xLSTM models. - Resolved the problem of data continuity through a RandomForestClassifier to support quality predictions. - The project is a blend of machine learning and mobile analytics and provides end users with practical suggestions for battery efficiency and improved device optimisation.