Fake News Detection
Nov 2024 - Dec 2024 (2 months)
• Developed a Fake News Detection system using NLP and Machine Learning, achieveing 85% accuracy in classifying articles . • Implemented text preprocessing techniques, including tokenization, stopword removal, and TF-IDF vectorization, improving model efficiency by 30% • Built and deployed a Flask-based web application, enabling real-time classification and reducing prediction time by 25%.