healthwise.ai is a medical diagnoses app and not a replacement for a doctor. It's a web application developed with Next.js, clerk and OpenAI that utilizes artificial intelligence and machine learning algorithms to assist in medical diagnoses. The app provides users with a user-friendly interface to input their symptoms and receive potential diagnoses and recommendations based on the input data and the AI's analysis.
- Symptom Input: Users can enter their symptoms into the app through a simple chatbox and intuitive user interface.
- AI Diagnosis: The app employs advanced AI algorithms to analyze the input symptoms and provide potential medical diagnoses.
- Recommendations: Along with diagnoses, the app offers recommendations for further actions, such as seeking immediate medical attention and/or suggesting self-care measures
- User Accounts: Users have the option to create accounts, allowing them to save their medical history and receive personalized recommendations.
- Privacy and Security: The app follows best practices for data privacy and security to protect user information and medical data.
- Clerk: For user authentication and protecting closed api routes.
- Next.js: A popular React framework for building server-side rendered and static web applications.
- OpenAI: JS library that enables the use of large language models directly within the browser by calling http requests to the open ai server.
git clone https://github.com/Yugaank-Kalia/healthwise.ai.git
npm install
To run this project, you will need to create a .env file and add the following environment variables to it
NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY = YOUR_API_KEY
CLERK_SECRET_KEY = YOUR_API_KEY
NEXT_PUBLIC_CLERK_SIGN_IN_URL=/sign-in
NEXT_PUBLIC_CLERK_SIGN_UP_URL=/sign-up
NEXT_PUBLIC_CLERK_AFTER_SIGN_IN_URL=/
NEXT_PUBLIC_CLERK_AFTER_SIGN_UP_URL=/
OPEN_AI_KEY = YOUR_API_KEY
go to https://dashboard.clerk.com to generate your api key and save it in your .env file
go to https://platform.openai.com to generate your api key and save it in your .env file
npm run dev
Open your browser and navigate to http://localhost:3000 to access the app.
This project is licensed under the MIT License.
- Landing Page for the web application
- Lung cancer detection using MRI scans
- Creating a custom model using falcon LLM
If you have any questions, feedback or contributions, feel free to contact me at yugaank@outlook.com