StyleSnap

AI based outfit detection and recommendation system

Built an AI-powered fashion recommendation web application that analyzes uploaded outfit images using YOLOv8 for clothing detection and Google Gemini Vision for identifying perceived gender and clothing color.
The system generates personalized product recommendations and AI-based styling explanations, combining computer vision and generative AI to deliver an intelligent, user-friendly fashion experience.

Python Ultralytics Transformers FastAPI Hugging Face Products

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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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Python JavaScript Flask Tailwind CSS Vercel Git Formspree

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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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