AI-Based Fake News Detection System Using NLP and Deep Learning
LeverageAi/Ml / Natural Language Processing / Web Applications / Media & Journalism TechnologyProject Objectives:
To create an AI system capable of detecting fake news by analyzing content, context, and source credibility using NLP and deep learning algorithms.
Project Tasks:
Collect datasets of real and fake news articles.
Preprocess text data using NLP techniques (tokenization, stemming, embeddings).
Train deep learning models (LSTM, CNN, Transformers) for fake news detection.
Implement web interface to analyze and classify news articles.
Evaluate model accuracy, precision, and recall on test datasets.
Test system on live news sources to detect misinformation.
Document methodology, model performance, and improvements
Educational Qualifications
B.TechB.EBCAMCA
Required Skills
Python Programming With TensorflowNatural Language Processing (Nlp) With TransformersHealthcare Data Preprocessing & Feature EngineeringNatural Language Processing (Nlp) & Deep Learning (Transformers, Seq2seq, Llm Basics)Web Development & Api Integration
