Projects

License Plate Detection and Recognition

- Implemented a computer vision-based model to detect license plates from car images.
- Used OCR techniques to extract and recognize text from the detected plates.
- Built a user-friendly interface for real-time plate detection and recognition.

Japanese to English Translator using MBART

- Built a Flask web application utilizing the MBART-large-50 model for Japanese to English text translation.
- Designed a modular project structure with potential for cloud deployment, ensuring scalability and accessibility.

AI-Driven Glycemic Risk Prediction and Health Management System

- Developed a Gradient Boosting Classifier for diabetes risk prediction, achieving 88% accuracy.

- Integrated Gemini AI to deliver personalized health recommendations, including dietary and exercise guidelines.

Pest Detection in Crops

- Analyzed 19,404 rice pest entries, identifying patterns through visualizations and reducing the dataset to 9,126 entries.
- Preprocessed data for machine learning models (Logistic Regression, SVM, AdaBoost, Random Forest) to achieve high accuracy in pest detection.