IntelliMuse

Inspiration

A growing trend of online health information creates an opportunity for an AI-generative health article website. This website could address the demand for accessible health content by utilizing AI to produce a vast amount of informative articles. AI also has the potential to streamline content creation, freeing up healthcare professionals' time for complex cases and patient interaction.

What it does

The website has 3 components to it, general, specific, and image-based pages. The General page has the Gemini API generate 10 health article titles and summaries that the user can then click on to access the entire article. The Specific page prompts the user to enter a keyword that is then sent to the Gemini API to create an article based on the word. The last page did not work but essentially it would have taken an image from the camera, identified the object in the image, and sent it to the main code to then be taken by the API to generate an article based on the object.

How we built it

We built this through Replit and the languages we used were JavaScript, Python, CSS, and HTML. We also used 3rd party applications such as Google collab that we then incorporated into our code.

Challenges we ran into

Our code would keep breaking, and our image-incorporated section of the website could not be added due to a translating error in our code.

Accomplishments that we're proud of

We were able to successfully incorporate the Gemini API into our website and have it generate articles and incorporate a user input section.

What we learned

Our team learned how to work with machine learning and this is quite useful for object detection. Our team also learned how to code with HTML and Javascript.

What's next for Intelli-Muse

We can implement AI images to correlate with the articles to give a more visual appeal to the final product. Another notion that we, as a team, can accomplish is adding videos to provide the users with more elaborate media.