Driver Drowsiness and Distraction Detection System
- Developed a system with integrated road sign detection to enhance road safety.
- Used facial landmark analysis (e.g., blinking, yawning, head movement) to trigger real-time fatigue alerts.
- Implemented using computer vision techniques to reduce accidents caused by drowsiness and distraction.
Rainfall Prediction Using Machine Learning
- Built a predictive model using hyperparameter-tuned algorithms (Lasso, Logistic, Ridge Regression).
- Trained on Indian climate data (1901–2015), achieving improved forecast accuracy and lower Mean Absolute Error compared to traditional models.
- Aimed at enhancing agricultural planning and climate resilience.
Sentry Mode & Abhaya Mode – Intelligent Surveillance System
- Developed real-time video surveillance features for embedded automotive systems using OpenCV on the QNX real-time operating system.
- Sentry Mode handled static surveillance, while Abhaya Mode responded dynamically to motion and object detection.
- Optimized for performance on resource-constrained automotive platforms.
Reverse Engineering – Auto-Parking System
- Reverse engineered legacy code to derive software requirements and design using IBM Rhapsody and DOORS.
- Created activity, sequence, and component diagrams to support system documentation and functional safety compliance.
SDD & SAD Documentation – VxWorks Automotive Edition
- Developed SDD and SAD documents using Polarion for an automotive system based on VxWorks Automotive Edition.