Ngum12/cameroon-legal-chatbot-t5

A Transformer-based chatbot fine-tuned on Cameroon’s legal and political canon using T5 for generative question-answering. Built with TensorFlow and Hugging Face Transformers, deployed via Gradio for intuitive legal assistance. # Cameroon Legal Assistant **An advanced legal assistant providing accurate and accessible information about Cameroonian law and governance.** ## 📑 Table of Contents - Project Overview - Key Features - Technical Architecture - Implementation Details - Installation Guide - Usage Examples - Performance Evaluation - Ethical Considerations - Future Development - Contributors ## 🔍 Project Overview The Cameroon Legal Assistant is an AI-powered system designed to bridge the accessibility gap in Cameroonian legal information. By leveraging natural language processing and machine learning technologies, this application provides accurate, relevant responses to legal inquiries, making Cameroon's complex legal framework more accessible to the general public. This project addresses several critical challenges: - Limited public access to legal information - Complexity of legal language and frameworks - Inconsistent information across sources - Language barriers in a bilingual legal system ## ✨ Key Features - **Domain-Specific Legal Knowledge**: Specialized in Cameroonian constitutional, civil, and criminal law - **Bilingual Support**: Provides information in both English and French - **Multi-Source Intelligence**: Combines trained model responses with web search capabilities - **Professional Formatting**: Presents information with clear structure and citations - **Safety Filters**: Implements robust content filtering for harmful or out-of-scope queries - **Responsive Interface**: Offers an intuitive, accessible user experience ## 🏗 Technical Architecture The system employs a two-tier architecture with specialized components: ### Core Components ```mermaid graph TD A[User Query] --> B[Frontend Interface] B --> C[FastAPI Backend] C --> D{Query Processor} D --> E[Domain Classifier] D --> F[Intent Recognizer] E --> G[Legal Model] F --> G G --> H{Quality Check} H -->|Good Quality| I[Response Formatter] H -->|Poor Quality| J[Web Search Engine] J --> I I --> K[Fron …