Project Information
- Category: Web Development
- Client: Final Year
- Date: June 2023
- Live URL: ftvc.netlify.app
FTVC – Fake, Toxic, and Voice Cloning Detection Platform
FTVC was my Final Year Project, focused on building a machine learning–powered platform to identify and classify fake news shared on Twitter. The system analyzes tweets, extracts meaningful features, and uses trained models to determine the authenticity of content. The platform was built with a React.js frontend for the user interface and a Flask/Python backend to handle machine learning tasks and data processing.
Key Features
- Machine learning models to detect and classify fake tweets
- Real-time text processing and sentiment analysis
- React.js frontend with clean UI for testing and displaying results
- Flask backend integrated with Python libraries (NLTK, Scikit-learn, TensorFlow)
- Secure API endpoints for model interaction and classification requests
This project gave me hands-on experience with natural language processing (NLP), machine learning, and full-stack web development. It was a challenging yet rewarding project that strengthened my expertise in combining AI models with practical frontend and backend development.