RISHI VINOD

Ambitious Computer Science undergraduate skilled in software development and cloud technologies. Committed to contributing to impactful projects while developing technical expertise. Strong abilities in customer service, multitasking, and time management enhance collaboration and project success.

Drowsiness Detection System:

• Developed a real-time driver drowsiness detection system using Python and OpenCV.
• Implemented webcam-based facial analysis to monitor eye closure and fatigue levels in real time.
• Triggered alert notifications when signs of drowsiness were detected to improve driver safety and prevent accidents.

Facial Emotion Recognition & Sentiment Analysis:

• Developed an AI-powered facial emotion recognition system capable of detecting human faces from images and live video streams.
• Implemented computer vision techniques using OpenCV to identify facial features and extract relevant emotional cues.
• Trained and utilized machine learning models to classify emotions such as Happy, Sad, Angry.
• Integrated sentiment analysis concepts to interpret emotional states and provide meaningful insights based on facial expressions.

National Cadet Corps (NCC), Completed NCC training demonstrating discipline, leadership, and physical fitness. Earned NCC certification recognized by Indian defense and government services.

• English
• Hindi
• Malayalam
• Tamil