Inspiration

MediCost was motivated by the stress many patients experience when they are unaware of the potential costs of medical treatments until after receiving care. Our team aimed to develop a solution to provide patients with medical and financial information, promote transparency, and enable informed decision-making.

What it does

MediCost is a user-friendly platform where individuals can enter their symptoms, and they will receive potential diagnoses powered by AI. Additionally, the platform provides estimated treatment costs based on real-world data. This gives users a comprehensive view of their healthcare journey, including financial implications.

How we built it

MediCost was created using advanced AI algorithms (GeminiAI) for symptom analysis, diagnosis prediction, and estimated treatment cost. The website was developed with Javascript for both the backend and frontend. Figma was used for the website's graphic design, and APIs were incorporated to ensure seamless data integration and user experience.

Challenges we ran into

One significant challenge we faced was establishing a database to ensure the accuracy of diagnoses. For now, we are utilizing GeminiAI information. However, we understand that for scalability, we will need to integrate various healthcare cost databases for different locations across the country.

Accomplishments that we're proud of

We are proud to have developed a solution that not only predicts potential diagnoses but also provides transparent cost estimates. We successfully integrated a GeminiAI model with a user-friendly website. We believe that providing users with diagnoses and estimated treatment costs will have a significant impact and help them feel more informed and less anxious about their healthcare decisions.

What we learned

Working on this project has given us significant takeaways, such as the significance of user-centered design in healthcare technology and the need to ensure that the platform is user-friendly. We have also gained valuable insights into the complexities of healthcare data and the effectiveness of AI models like Gemini in developing innovative solutions. Most importantly, we have come to understand the importance of interdisciplinary collaboration among professionals with diverse backgrounds.

What's next for MediCost

We plan to incorporate user feedback to continually improve the model's accuracy and platform usability. We also plan to develop partnerships with insurers to offer more personalized cost data.

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