chrishamismkanga-create/MULTILANGUAGE-

It is used to ask questions and answers according health issues so as you can get the symptoms in African language. # 🌍 Development of a Multilingual Health Question Answering System for Low-Resource African Languages Using Natural Language Processing and Deep Learning ## 📖 Project Overview This project aims to develop an **AI-powered Multilingual Health Question Answering (MHQA) System** that enables users to ask healthcare-related questions in low-resource African languages and receive accurate responses in their preferred language. The system leverages **Natural Language Processing (NLP)**, **Transformer-based Deep Learning models**, and **Machine Translation** techniques to bridge language barriers in healthcare communication. The project is developed as part of an academic research project in Biomedical Equipment Engineering. --- ## 🎯 Objectives * Develop a multilingual health question answering system. * Support low-resource African languages. * Improve healthcare information accessibility. * Apply Natural Language Processing techniques. * Train and evaluate transformer-based deep learning models. * Build a modern web application for healthcare users. --- ## 🚀 Features * 🌍 Multilingual health question answering * 🧠 Transformer-based NLP model * 🔄 Machine translation support * 🗣️ Future voice input and speech output * 📱 Responsive web interface * ⚡ Fast API response using FastAPI * 🔒 Scalable architecture for future deployment --- ## 🏗️ System Architecture User │ ▼ Streamlit Web Interface │ ▼ Question Processing (Python) │ ▼ Transformer NLP Model (PyTorch + Hugging Face) │ ▼ Answer Generation Module │ ▼ Multilingual Response --- ## 🛠️ Technology Stack Proposed System Architecture Frontend Streamlit Backend Python Artificial Intelligence PyTorch Hugging Face Transformers Natural Language Processing (NLP) Database PostgreSQL (Future Integration) Development Environment Google Colab Jupyter Notebook Visual Studio Code GitHub ### Version Control * Git * GitHub --- ## 📂 Project Structure ```text Multilingual-Health-QA-System/ │ ├── data/ │ ├──> Tr …