GloryMsasalaga/TamuTalk

TamuTalk is an intelligent, bilingual chatbot designed to provide personalized food recommendations based on a user’s budget, dietary preferences, and health conditions. Built with natural language processing (NLP) and machine learning, it understands both Swahili and English, making it accessible and inclusive for diverse communities. # TamuTalk Chatbot 🍽️🗣️ **TamuTalk** is an intelligent, bilingual (English and Swahili) chatbot designed to offer personalized food suggestions based on a user's budget, diet, and health conditions. It also supports basic health advice and conversational flow from greetings to goodbyes. --- ## 🌟 Features - 🤖 NLP-powered intent classification using Scikit-Learn - 🔁 Real-time learning and retraining support - 🌍 Language detection and translation (Swahili/English) - 💬 Web-based chat interface (frontend + backend) - 🧠 Entity extraction (budget, dietary preferences, health conditions) - 📦 Logs all conversations and responses for traceability - 🔧 Flask web server for communication with the chatbot - 📁 Option to save chats to a file --- ## 🛠️ Tech Stack - Python 3.10+ - Flask - Scikit-learn - Googletrans (Translation and Language Detection) - HTML/CSS/JavaScript (Frontend) - JSON (Training Data) --- ## 🚀 Getting Started ### 1. Clone the Repository git clone github.com ### 2. Install Python Dependencies pip install -r requirements.txt ### 3. Add training data add chatbot_training_data.json file inside the project directory. This contains intents, patterns and responses. ### 4. Run the Chatbot Server write a command "flask run" on your terminal or cmd ### 5. 🔒Disclaimer TamuTalk provides food and general health suggestions only. It is not a substitute for professional medical advice. ### 6. 🤝Contributions Pull request are welcome....For major changes, open an issue first to discuss what you'd like to change. ### 7. 👩‍💻 Created by Glory Lazaro Msasalaga Data Scientist | IoT Expert | AI/ML engineer Tanzania 🇹🇿