Optimized e-commerce delivery routes for Chicago using advanced algorithms.
Designed an urban delivery route optimization system using OpenStreetMap data and compared Nearest Neighbor, Quad-Tree, and Floyd–Warshall algorithms for scalability, computational efficiency, and priority-aware delivery. Improved travel distance and runtime performance for multi-depot logistics simulation.
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....