Abstract
AI Chatbot Framework is an open-source AI & Machine Learning project. A python chatbot framework with Natural Language Understanding and Artificial Intelligence. AI Chatbot Framework is an open-source, self-hosted, DIY Chatbot building platform built in Python. With this tool, it’s easy to create Natural Language conversational scenarios with no coding efforts whatsoever. It is built using TypeScript, LangChain. Key capabilities include: Fully Self-Hosted; Low-Code, DIY Admin Dashboard for Bot Development; Multi-turn Conversations. The complete source code is publicly available on GitHub under the MIT License, making it a useful reference for students building an AI & Machine Learning mini project or final-year project.
1. Introduction
AI Chatbot Framework is an open-source, self-hosted, DIY Chatbot building platform built in Python. With this tool, it’s easy to create Natural Language conversational scenarios with no coding efforts whatsoever. The smooth UI makes it effortless to create and train conversations to the bot. AI Chatbot Framework can live on any channel of your choice (such as Messenger, Slack etc.).
2. Objective
A python chatbot framework with Natural Language Understanding and Artificial Intelligence.
This project demonstrates how TypeScript, LangChain can be applied to a real-world AI & Machine Learning problem.
3. Key Features / Modules
- Fully Self-Hosted
- Low-Code, DIY Admin Dashboard for Bot Development
- Multi-turn Conversations
- API request fulfilment (Tool Calling)
- Persistent Memory & Context Management
- Advanced Natural Language Understanding (NLU)
- Spacy Word Embeddings
- Intent Recognition (ML)
- Entity Extraction (ML)
- Zero shot NLU using Large Language Models (LLMs)
4. Technology Stack
- Python / FastAPI / Pydantic
- MongoDB / Motor
- React / NextJS
- scikit-learn / Tensorflow / Keras
- Spacy / python-crfsuite
- Docker / docker-compose / Kubernetes / Helm
5. System Requirements
General requirements for this technology stack — check the README for exact versions.
- Node.js (LTS) and npm / yarn / pnpm
- VS Code or any code editor
- Git (to clone the repository)
6. Installation & Setup
git clone https://github.com/alfredfrancis/ai-chatbot-framework.git
cd ai-chatbot-frameworkFull setup instructions are in the project README.
7. Future Enhancements
Suggested extensions you can add to make this your own project.
- Deploy the model as a web app with Streamlit, Flask or FastAPI
- Compare against an additional model and report the metric difference
- Add explainability (SHAP / Grad-CAM)
8. Viva / Review Questions
Common questions examiners ask for projects in this domain.
- What dataset does the project use and how was it pre-processed?
- Which algorithm / model architecture is used and why was it chosen over alternatives?
- How are training and testing data split, and how is overfitting avoided?
- Which evaluation metrics (accuracy, precision, recall, F1) are reported and what do they mean here?
- How would you deploy this model for real users?
9. Source Code & License
This project is developed by alfredfrancis and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.
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