📌 Project Overview

The Multilingual AI Healthcare Assistant is a real-time healthcare application developed using Artificial Intelligence and Machine Learning technologies. The system predicts possible diseases based on user symptoms provided through text, voice, and image inputs.

The application supports multilingual communication, severity analysis, diet recommendations, PDF health report generation, and nearby hospital navigation for smart medical assistance.

🚀 Features Real-time Disease Prediction Multilingual Support Voice-Based Symptom Input Image-Based Symptom Analysis Severity Level Detection Diet Recommendation Precaution Suggestions PDF Health Report Generation Nearby Hospital Navigation using Google Maps 🛠️ Technologies Used Python FastAPI Machine Learning HTML CSS JavaScript Scikit-learn ReportLab 📂 Project Structure healthcare-chatbot/ │ ├── backend/ │ ├── app/ │ ├── datasets/ │ ├── models/ │ └── venv/ │ ├── frontend/ │ ├── uploads/ │ ├── README.md ▶️ How to Run the Project

1. Clone Repository git clone
2. Navigate to Project Folder cd healthcare-chatbot
3. Install Dependencies pip install -r requirements.txt
4. Run Backend Server uvicorn app:app --reload
5. Open Frontend

Open index.html using Live Server or browser.

📊 Dataset

The project uses symptom and disease datasets for Machine Learning based disease prediction and healthcare analysis.

🎯 Objective

To develop an intelligent AI-powered healthcare assistant that improves early disease awareness, healthcare accessibility, and smart medical support using Machine Learning techniques.

📍 Output

The system provides:

Predicted Disease Severity Level Diet Recommendation Precautions PDF Health Report Nearby Hospital Navigation