MindWell | Microsoft AI Emotion Deduction

Key Features

AI-Powered Facial Emotion Detection: Identifies whether a person is happy, sad, or experiencing another emotion.

Modern & Responsive Frontend: Built with HTML, CSS, JavaScript, and React.js.

Robust Backend: Developed with Python FastAPI for image processing and returning results.

Integration with OpenRouter AI Models: Leveraging pre-trained models for emotion recognition.

Custom AI Model: Trained a specialized model for higher accuracy in image analysis.

Computer Vision Techniques: Used for preprocessing facial features before prediction.

Lightweight & Fast Database: Implemented with SQLite for efficient data storage.

Agile Development Methodology: Continuous updates and regular code reviews.

Seamless Integration: Smooth connection between frontend, backend, and AI components.

Performance & Accuracy Optimization: Iterative testing and refinement for the best results.

Tech Stack

Frontend: HTML, CSS, JavaScript, React.js

Backend: Python FastAPI

AI & Computer Vision: OpenRouter Models, Custom ML Model, Image Preprocessing

Database: SQLite

Methodology: Agile Development