🤖 CodeAlpha AI & ML FAQ Chatbot

An NLP-based FAQ chatbot developed as part of the CodeAlpha Artificial Intelligence Internship.

🚀 Live Demo

Try the chatbot online: https://huggingface.co/spaces/Thakur-sejal18/CodeAlpha_FAQChatbot

📌 Project Overview

This chatbot answers frequently asked questions related to Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Chatbots.

The system uses Natural Language Processing, TF-IDF vectorization, and Cosine Similarity to find the most relevant FAQ and return its answer.

🎯 CodeAlpha Task

Task 2 – Chatbot for FAQs

Requirements Implemented

• FAQ collection
• NLP text preprocessing
• TF-IDF vectorization
• Cosine similarity
• Similarity-based FAQ matching
• Confidence/relevance handling
• Interactive Gradio interface

🧠 How It Works

1. User enters a question.
2. The question is preprocessed.
3. The text is converted into a TF-IDF vector.
4. Cosine similarity is calculated against the stored FAQ questions.
5. The most similar FAQ is selected.
6. A relevance check prevents unrelated responses.
7. The corresponding answer is displayed.

✨ Features

• 🤖 AI and ML FAQ chatbot
• 🧠 NLP-based preprocessing
• 📊 TF-IDF vectorization
• 🔍 Cosine similarity matching
• 🛡️ Fallback handling for unrelated questions
• 💬 Interactive Gradio interface
• 📚 40 AI/ML FAQs

🛠️ Technologies Used

• 🐍 Python
• 🧠 Natural Language Processing (NLP)
• 📊 Scikit-learn
• 🔢 TF-IDF
• 🔍 Cosine Similarity
• 🎈 Gradio
• 🔤 Regular Expressions

📚 FAQ Topics

The chatbot covers topics including:

• 🤖 Artificial Intelligence

• 🧠 AI Models

• 📈 Machine Learning

• 🎯 Supervised Learning

• 🔎 Unsupervised Learning

• 🎮 Reinforcement Learning

• 📊 Classification

• 📉 Regression

• 🗂️ Training & Testing Data

• 📚 Datasets

• 🏷️ Features & Labels

• 🧠 Deep Learning

• 🔗 Neural Networks

• 🖼️ CNN

• ⚡ Activation Functions

• 🔄 Backpropagation

• 🧠 LSTM

• 💬 Natural Language Processing

• 📝 Text Preprocessing

• 🔤 Tokenization

• 📊 TF-IDF

• 🔍 Cosine Similarity

• 👁️ Computer Vision

• 🖼️ Image Classification

• 🎯 Object Detection

• 📈 Model Evaluation

• 🎯 Precision & Recall

• 📋 Confusion Matrix

• ⚠️ Overfitting & Underfitting

• 🔄 Epochs

• ✨ Generative AI

• 🧠 Large Language Models (LLMs)

• 💬 Chatbots

  🎯 Applications

This chatbot can be useful for:

• 🎓 AI/ML learning
• 📚 Educational assistance
• 🤖 AI concept exploration
• 💬 Interactive FAQ systems
• 🧑‍💻 Beginner-friendly AI learning
• 📖 Quick technical reference

🚀 Future Enhancements

• 🗣️ Voice-based questions
• 🌐 Multilingual support
• 🧠 Advanced NLP models
• 🤖 Transformer-based chatbot
• 💾 Conversation history
• 📊 User interaction analytics
• 🔍 Larger FAQ knowledge base

🎓 Learning Outcomes

Through this project, I gained hands-on experience with:

• Natural Language Processing
• Text preprocessing
• TF-IDF vectorization
• Cosine similarity
• Machine Learning concepts
• FAQ-based chatbot development
• Gradio interface development
• Python application deployment

📁 Project Structure

CodeAlpha_FAQChatbot/ │ ├── app.py ├── requirements.txt └── README.md

👩‍💻 Author

Thakur Sejal
B.Tech — Artificial Intelligence & Machine Learning

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⭐ If you found this project useful, consider giving the repository a star!

Built with 🐍 Python • 🧠 NLP • 📊 TF-IDF • 🔍 Cosine Similarity • 🎈 Gradio