📰 Fake News Detection System (LSTM + Flask)

A real-time fake news detection system built with an LSTM-based neural network and deployed via a Flask web app. It processes real-world news text input, predicts authenticity, and delivers results through a clean, responsive UI and RESTful APIs.

---

🚀 Features

• 🤖 LSTM-based Neural Network built with Keras & TensorFlow
• 📈 Achieved 92% accuracy on real-world news datasets
• 🧠 NLP preprocessing using NLTK and Keras tokenizers
• 🌐 Flask API backend with real-time prediction support
• 🧪 OOP-based backend design with unit testing in Unix-based dev environment

---

🛠️ Tools & Technologies

• 🐍 Python
• 🔠 Keras, TensorFlow
• 📚 NLTK, Pandas, NumPy
• 🌐 Flask (API)
• 🖼️ HTML, CSS
• 🧪 OOP, Unit Testing
• 💻 Unix-based CLI

---

🗃️ Dataset

• 📌 Real-world news articles dataset (e.g., from Kaggle or trusted sources)
• Features include: title, text content, and label (fake or real)

---