Comprehensive analysis of Google Play Store apps using Python and data visualization libraries.
Analyzed a comprehensive dataset of Google Play Store applications using Python, Pandas, Matplotlib, and Seaborn to uncover trends in app performance, user ratings, and market dynamics. The project revealed insights into app categories, pricing strategies, and factors influencing user engagement.
An evidence-based AI system using RAG to generate ATS-optimized resumes from GitHub and research dat...
AI-based gait analysis using deep learning and signal processing for motion understanding....
Character-level music generation using LSTM-based RNNs trained on symbolic music data....