Real-time detection of cars and sidelights using custom YOLOv5 model with 95% mAP accuracy.
Developed a custom YOLOv5 object detection model for real-time detection of cars and sidelights, achieving 95% mean Average Precision (mAP). The model was integrated into the CarSight prototype for automated driving test evaluation, significantly improving the accuracy and efficiency of driving assessments.
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....