Project Overview

MalagasyEditor is a collaborative academic project developed by a team of 7 students (ESIIA 5). It is a smart text editing platform specifically designed for Malagasy-speaking users, combining a modern web interface with machine learning capabilities for intelligent text processing and linguistic assistance in the Malagasy language.

Technical Development

- Frontend: Built with Next.js 15 (React 19) and styled with Tailwind CSS, deployed on Vercel for optimal performance.
- Backend & ML: Python-based backend using FastAPI, handling machine learning models for text analysis and suggestions.
- Deployment: Backend deployed on Render, frontend on Vercel, ensuring a scalable and accessible architecture.
- Team Collaboration: Worked within a 7-member team with specialized roles across ML, Backend, and Frontend development.

Features

- Intelligent Text Editing: Real-time text processing with ML-powered suggestions tailored for the Malagasy language.
- Modern Editor Interface: Clean, responsive editing environment with a focus on user experience.
- ML Integration: Machine learning models trained on Malagasy linguistic data for smart text assistance.
- Full-Stack Architecture: Seamless communication between Next.js frontend and FastAPI backend.

My Role

As the Frontend developer of the team, I was responsible for building the user-facing interface using Next.js 15 and Tailwind CSS, ensuring a smooth and responsive editing experience. I also contributed to integrating the ML API endpoints into the frontend for real-time text suggestions.

Highlights

- Live Demo: Try the application.
- Video Demo: Watch the demo.
- Academic Project: Developed as part of the ESIIA 5 curriculum, demonstrating real-world ML application.

Conclusion