AI Chatbot Research Project

A simple rule-based chatbot built using Python and Streamlit to explore the fundamentals of conversational AI, prompt engineering, and AI governance.

This project serves as an entry point for understanding chatbot logic, how rule-based systems operate, and how they connect to broader ethical and governance considerations in AI development.

Demo

• Live Demo
• Full Report
• References

Features

• Built in Python using Streamlit
• Runs entirely client-side — no backend or LLM required
• Basic chatbot logic using keyword-based routing
• Designed with ethical questions and governance themes in mind
• Includes detailed report and academic/policy references

Tech Stack

• Python
• Streamlit
• GitHub Pages (for deployment)
• Markdown (.md) files for report and documentation

Project Goals

• Learn the foundations of chatbot development
• Reflect on transparency, fairness, and user trust in conversational systems
• Build a project grounded in AI governance concepts
• Provide a platform for future integration of OpenAI or other LLMs

Future Improvements

• Integrate LLMs (e.g., OpenAI API) for smarter responses
• Expand conversation flows with dynamic prompts
• Add intent recognition or keyword expansion
• Collect basic feedback for iterative improvements

License

This project is licensed under the MIT License.

Author

Gabrijela M.
Aspiring Data & AI Analyst | Streamlit · Chatbots · AI Governance LinkedIn