This project utilizes YOLO V8 for real-time object detection and Tesseract OCR with advanced preprocessing for precise text extraction, including expiry dates and product details. Custom ResNet-50 and SSD MobileNet v3 models enable accurate freshness detection of produce. Robust dataset augmentation and regex-based parsing ensure high adaptability and accuracy across diverse packaging and scenarios.

ByteCode integrates machine learning models with Flask to provide a web interface for general predictions using an LSTM model and a crop recommendation system. It includes separate modules for each functionality, accessible via distinct routes.

This platform offers a comprehensive Google Play Store data analysis tool designed to help users explore and engage with app trends, providing seamless app search capabilities, detailed app insights, and actionable analytics for optimization and decision-making.

The project, "Detection of Sudden Pedestrian Crossing for Driving Assistance," offers an innovative safety solution using Arduino, Raspberry Pi, and OpenCV. It ensures real-time pedestrian detection, reducing accidents with early alerts and smarter decision-making.

This platform allows users to search for available movies, recommend movies based on their preferences, and view past recommendations..

MedJoy is a modern doctor booking and hospital management app built using Flutter, Firebase, Twilio, Node, and Machine Learning. It allows patients to easily book doctor appointments, manage medical records, and receive real-time notifications. For hospitals, it simplifies patient, staff, and inventory management. With Twilio-powered automated reminders and ML-driven features, MedJoy enhances efficiency, making healthcare smarter and more accessible. Designed for seamless integration, it optimizes operations and improves patient experience, ensuring a smooth and intelligent healthcare ecosystem

Blog Explorer is a cross-platform mobile application developed using Flutter and Dart, designed to provide users with a seamless experience in discovering and reading blogs. Leveraging Firebase for backend services, the app ensures real-time data synchronization and efficient content management. The project's codebase is structured to support multiple platforms, including Android, iOS, Linux, macOS, web, and Windows, as indicated by the presence of respective directories in the repository.