Sign Language Detector
Action Recognition-Based Sign Language Interpretation Using CNNs
- Developed a real-time sign language detection system that converts hand gestures into readable text using deep learning and computer vision.
- Utilized OpenCV for video capture and TensorFlow to train a CNN model for gesture classification across various ASL signs.
- Preprocessed input frames using hand landmark detection and image augmentation to improve accuracy under different lighting and backgrounds.
- Built with the goal of enhancing inclusive communication for the hearing and speech-impaired, with potential for integration into assistive technologies.
Python
TensorFlow
OpenCV
MediaPipe
Convolutional Neural Networks (CNN)
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Portfolio
The site you are on right now
- Python Webapp of profile showcase.
- Responsive Portfolio built with Tailwind CSS & Flask.
- Profile site built from scratch – no template used.
Python
JavaScript
Flask
Tailwind CSS
Vercel
Git
Formspree
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Live Demo
Serrie 2.0
24/7 Motion Detection and Surveillance System using Ultrasonic sensor
- Developed real-time computer vision systems using Python, TensorFlow, and OpenCV for gesture recognition and motion detection.
- Integrated webcam and CCTV feeds to build always-on, low-latency applications for accessibility and surveillance.
- Trained custom deep learning models for dynamic gesture classification and suspicious activity detection.
- Built responsive web interfaces with Streamlit to allow real-time interaction, monitoring, and alerts across devices.
Python
MySQL
OpenCV
PyTorch
Internet of Things (IOT)
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