HealHunter an AI-backed telehealth SaaS for preliminary diagnosis

✅ Features

• AI-Driven Telehealth: Leverage AI to provide preliminary diagnoses, improving the efficiency and accuracy of healthcare services;
• AI Disease Identifier: Allowing patients to input symptoms and predict diagnoses with fine-tuned Gemini 1.5;
• AI Healthcare Chatbot: Asks clarifying questions for faster diagnoses and better doctor understanding;
• AI Audio-to-Text Transcription: Recording patient-doctor conversations using OpenAI's Whisper and GPT-4 technology.
• User-Friendly UI/UX: Intuitive interfaces for both clients and doctors to ensure seamless interactions.
• Integrated Video Calls: Utilize Google Meet for video consultations directly within the application.
• Skin Disease Detection: Implement AI models to identify various skin conditions.
• Deployment: Deployed on Vercel for easy access and scalability.

📂 Repository Structure

Next.js Project

• app/: Contains Axios instance, Doctor's and Client's Dashboards, layout page.
• components/: Contains React components used in the project.
• pages/: Contains Next.js pages. Each file in this directory is associated with a route based on its file name.
• styles/: Contains CSS files for styling the application.
• public/: Contains static files such as images, which can be accessed directly.
• utils/: Contains utility functions and helpers used throughout the project.

AI Folder

• preprocessing.py: Loads the entire dataset, performs image preprocessing, and splits the images into train, validation, and test sets.
• sets_visualization.py: Visualizes the distribution of different skin lesion types across train, validation, and test sets.
• augmentation.py: Augments images in the dataset for classes with insufficient data.
• model.py: Builds the Xception model for skin lesion diagnosis.
• evaluate.py: Evaluates the model, providing confusion matrix, accuracy and loss histograms, and classification report.
• predict.py: Predicts a batch of images from a directory using the trained model.

📝 ToDo List

• UI/UX (client, doctor)
• Landing + onboarding
• Fix GEMINI 1.5, OpenAI WHISPER
• Restructure APP.PY
• Google Meet for video calls in Calendar
• Skin Disease AI implementation
• Deployment on Vercel

Links

• Backend Repository

Getting Started

To get a local copy up and running, follow these simple steps.

Prerequisites

• Node.js
• Python 3.x
• Virtual environment tool (e.g., venv or virtualenv)

Installation

1. Clone the repo

   git clone https://github.com/azekowka/aitrack.git

2. Install Node.js dependencies

   npm install

3. Run the Next.js application

   npm run dev

4. Access the Next.js application at http://localhost:3000

5. Create a virtual environment

   python -m venv venv

6. Activate the virtual environment

   • On Windows

     venv\Scripts\activate

   • On macOS/Linux

     source venv/bin/activate

7. Install Python dependencies

   pip install -r requirements.txt

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Abdulaziz Gabitov - [email protected] Kerey Berdyshev - [email protected]

Project Link: https://github.com/azekowka/aitrack