AI ChatBot on GitHub
GitHub: github.com/Harsha2318/Ai-ChatBot
Creating an AI chatbot as a mini project can be an exciting way to learn about natural language processing (NLP), AI, and software development. Here's a plan for your AI chatbot mini-project:
Overview
An interactive AI chatbot capable of engaging in basic conversations, answering questions, and assisting users with predefined tasks. The chatbot can be built using Python and NLP libraries like NLTK, spaCy, or a pre-trained model such as OpenAI's GPT.
Features
Basic Conversational Abilities
Respond to general user queries (e.g., "What is the weather today?").
Provide pre-programmed responses to FAQs.
Custom Commands
Greet the user with their name.
Provide motivational quotes or jokes.
Integration
Optionally integrate with external APIs like OpenWeatherMap for real-time data.
Store chat history for analysis.
Multi-Language Support (Optional)
Add responses in multiple languages for enhanced user experience.
Tech Stack
Backend: Python
Libraries/Frameworks:
NLTK or spaCy for NLP tasks.
Flask or FastAPI to create a web interface.
Optionally, TensorFlow or PyTorch for custom ML models.
Frontend:
HTML/CSS with JavaScript for a basic web interface.
React for an interactive UI (optional).
Database: SQLite or MongoDB to store user queries and responses.