Cura AI

Empowering Healthcare Access: Cura AI - Your Personalized Medical Navigator

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Project Overview: Cura AI - A Synergistic Medical Assistance Platform

Inspiration:

Cura AI is inspired by the vision to provide instant medical assistance to individuals, ensuring access to AI-driven advice, 24/7 support, pre-doctor consultation assistance, and cost-effective alternatives to emergency room visits. Additionally, it is driven by a commitment to community health initiatives, telemedicine integration, global outreach, and addressing accessibility challenges for senior citizens and individuals with limited transportation.

What it does:

Cura AI empowers users to input symptoms and receive instant preliminary analysis and guidance through AI-driven responses. It offers 24/7 support, pre-doctor consultation assistance, and a cost-effective alternative to emergency room visits. Furthermore, it seamlessly integrates telemedicine features for virtual appointments and extends its reach to underserved communities globally.

How we built it:

Backend:

  • Leveraged Gen AI and Google Gemini API for training the AI and generating relevant responses.
  • Employed Python with Flask framework for backend processing to collect and decipher data from APIs.

Frontend:

  • Crafted a user-friendly interface using HTML, CSS, and JavaScript.
  • Integrated Google Maps API and Folium for spatial representation and visualization of medical facilities.
  • Orchestrated data transfer between Python backend and JavaScript frontend using Flask.

Challenges we ran into:

  • Faced challenges in managing exhaustion of the Google API.
  • Encountered UI design issues, particularly in positioning titles, input sections, and buttons.

Accomplishments that we're proud of:

  • Successfully developed a functional project with a user-friendly UI and efficient backend processing.

What we learned:

  • Enhanced skills in Flask development and learned to effectively utilize Google Gemini API for training AI models.

How we used Google Gemini API for Prompt Engineering:

  • Google Gemini API played a pivotal role in training our AI model for prompt understanding and response generation.
  • Through prompt engineering, we fine-tuned the AI model to produce therapeutic and informative responses that address users' medical concerns comprehensively.
  • By leveraging Google Gemini API, we ensured that the AI-generated responses were tailored to elicit a more therapeutic and informative tone, thereby enhancing user engagement and satisfaction.

What's next for Cura AI:

  • Expansion into international markets to extend our reach to a global audience.
  • Enhancement of location data display on the map to include addresses for better user navigation.
  • Exploration of various business models, such as pay-per-usage and subscription-based services, to make the platform more accessible and cost-effective for users worldwide.

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