Electronics & Computer Science Engineering undergraduate focused on AI/ML-driven systems and software engineering.
navya@portfolio:~$ _
Python
Java
SQL
Streamlit
JS
ML
OpenCV
Raspberry Pi
Git
GitHubML models for diabetes, heart, and kidney disease prediction. Achieved 85% accuracy and deployed via Streamlit.
Real-time computer vision system using facial landmark detection and EAR analysis to detect driver fatigue.
Raspberry Pi adaptive traffic signal system. Results showed a 20–25% reduction in traffic violations.