MoodChatBot 🐱💭

An AI-powered emotional support chatbot built with Python and Streamlit that detects user moods and responds with thoughtful, context-aware conversations.

✨ Features

• Mood detection from user input
• Emotion-based conversation flow
• Dynamic response generation
• Stateful chat memory
• Interactive and clean chatbot UI
• Personalized conversational responses

🛠 Built With

• Python
• Streamlit
• SQLite
• Custom mood detection logic
• Conversation state management

🎯 Project Goal

MoodChatBot was built to create a more emotionally aware chatbot experience.

Instead of giving random generic replies, the chatbot analyzes emotional context and responds based on:

• Current detected mood
• Previous emotional state
• Conversation stage
• Context continuity

This creates more natural and supportive conversations.

📂 Project Structure

MoodChatBot/
│── main.py
│── moodbot.db
│── images/
│── views/
│── .streamlit/

🚀 How to Run

Clone the repository:

git clone https://github.com/Flockstock/MoodChatBot.git

Install dependencies:

pip install -r requirements.txt

Run the app:

streamlit run main.py

🌱 Future Improvements

• Advanced NLP integration
• Better emotional context tracking
• Expanded response intelligence
• Voice-based interaction
• Machine learning mood prediction

👩‍💻 Author

Built by Samayra BCA-MCA student exploring AI, conversational systems, and intelligent emotional interaction.