MediMate: Your Personal Health Companion

MediMate is an intelligent, user-centric web application designed to serve as a personal health companion. It empowers users to better understand their health concerns through AI-driven diagnostic pathways, helps them find nearby medical specialists, and allows them to manage their appointments with automated reminders.

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Key Features

• AI Symptom Analysis: Utilizes a two-stage diagnostic process: first, a Random Forest machine learning model provides a preliminary disease prediction based on user symptoms. Then, the Google Gemini AI model generates a detailed assessment and advice based on this prediction.
• AI Skin Analysis: Features a powerful Deep Learning model for skin analysis. By leveraging a Convolutional Neural Network (CNN), the tool analyzes user-uploaded photos to provide a potential classification of dermatological issues.
• Find Nearby Specialists: Based on the AI assessment, the application identifies the appropriate medical specialist and uses the Google Maps API to instantly provide a detailed list of nearby doctors, complete with contact information, ratings, address, and distance.
• Appointment Calendar: A personal calendar where users can schedule and view their medical appointments.
• Automated Reminders: An asynchronous reminder system, powered by Celery and Redis, that automatically sends email notifications to users one day before their scheduled appointments.
• Secure User Authentication: A complete user registration, login, and profile management system built with django-allauth to ensure a personalized and secure experience.

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Tech Stack

• Backend: Django, Python
• Frontend: HTML, CSS, JavaScript
• Asynchronous Tasks: Celery
• Message Broker: Redis
• Database: SQLite3 (for development)
• AI & Machine Learning:
  • Google Gemini API (for symptom assessment)
  • CNN for Skin Disease Classification
  • RandomForest for Disease/Symptom Classification
• APIs: Google Maps Platform (Places API, Distance Matrix API)
• Authentication: django-allauth

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Setup and Installation

Follow these steps to set up the project locally.

1. Prerequisites

• Python 3.10+
• Redis installed and running. (Download from here for Windows)

2. Clone the Repository

git clone <your-repository-url>
cd <your-project-folder>

3. Set Up a Virtual Environment

python -m venv venv
venv\Scripts\activate

4. Install Dependencies

pip install -r requirements.txt

5. Configure Environment Variables

• Create a .env. Add your secret keys and API credentials to this file:

GEMINI_API_KEY = "your-google-gemini-api-key"
GOOGLE_MAPS_API_KEY = "your-google-maps-api-key" 

6. Run Database Migrations

python manage.py makemigrations
python manage.py migrate

7. Running the Application

python manage.py runserver
celery -A your_project_name worker -l info -P solo
celery -A your_project_name beat -l info

Screenshots