Emolens - Emotion Recognition Application
Overview
Emolens is an emotion recognition application that allows users to upload videos for emotion analysis. The application consists of a frontend built with React, a backend API built with NestJS, and a machine learning processing service using FastAPI. The classification model, which processes the emotions, is not included in this repository.
Tech Stack
- Frontend: React (folder vite-ts-app)
- Backend: NestJS (folder backend)
- Machine Learning Service: FastAPI (Python) (folder algorithm)
- Video Processing & Communication: REST API calls between services
Workflow
- The user uploads a video through the React frontend.
- The frontend captures the video and sends it to the NestJS backend.
- The NestJS backend forwards the video to the FastAPI service.
- The FastAPI service processes the video and calls the classification model (currently not included in the repository).
- The classification result is sent back through the FastAPI service to NestJS.
- The NestJS backend returns the classification result to the frontend for display.
Installation & Setup
Prerequisites
- Node.js
- Python (for FastAPI service)
- Package managers: npm/yarn & pip
Contributors
- Paulo Fontes
Contact
For any inquiries, please reach out to paulo.batista-fontes@student-cs.fr.