17- Prescripta

Prescripta At your fingertips

Inspiration

The inspiration behind Prescripta stems from a personal experience within our team. One of our members has a close friend with a genetic illness who relies on medication. Witnessing their struggles motivated us to create Prescripta, aiming to provide a higher level of reliability and peace of mind in managing prescriptions

What it does

Phase 1 of Prescripta enables doctors to issue prescriptions to patients, with prescription information securely stored on the Hedera blockchain. Patients can retrieve their prescriptions using a unique ID generated by Hedera. Additionally, AI provides insights into the prescribed medications, offering general use cases—not as a replacement for medical professionals, but as a supplementary resource.

Our long-term vision is to enhance accessibility by making prescriptions easily locatable, integrating price comparisons, and ensuring patients have access to affordable medication. Additionally, Prescripta aims to support pharmaceutical companies by providing predictive analytics on drug trends, helping optimize profitability as a premium feature. The platform also has the potential to be white-labeled for hospitals, allowing for tailored implementations based on specific use cases.

How we built it

Prescripta was developed using Node.js for the backend and React for the frontend. It consists of three main pages, with the remaining functionality operating on the backend.

The system leverages blockchain technology, utilizing Hedera Testnet, HashPack, and HashScan.io to track transactions. Prescriptions are stored on the blockchain, and transactions can be retrieved using the account ID generated by Hedera.

Additionally, we integrated Google Gemini AI to provide insights on prescriptions. Initially, the AI model was free to use, but after extensive testing, running the model now incurs a cost.

Challenges we ran into

We ran into quite a few challenges while building Prescripta. First, internet connectivity was a major issue not just for us, but for many teams.

Another big challenge was the skill gap within our team. Each member was comfortable with different programming languages, which made it tough to settle on a tech stack that worked for everyone. Trying to bridge that gap while working under pressure to deliver was no easy feat.

On top of that, the scope of the project was huge, and our skillset didn’t fully match what was needed. We had to learn and adapt quickly, taking on a programming language we weren’t familiar with, figuring it out on the go, and still ensuring the project was completed on time.

Finally, deployment was another hurdle. With the project being so large, we had to navigate GitHub for version control and then figure out how to deploy it using Render. It was a long process, but we made it work in the end.

Accomplishments that we're proud of

We’re proud that we took on this challenge and gave it our best shot. More than that, we’re proud of what we learned, especially how to integrate AI into a real-world solution. It was an eye-opening experience that pushed us to adapt, pivot, and problem-solve along the way.

While Prescripta is still in its MVP stage, it represents just a small glimpse of a much bigger vision. Our hope is that this project sparks important conversations about the future of healthcare, accessibility, and innovation. This is just the beginning.

What we learned

We learned that we just need to endure and thats a big lesson.

What's next for 17- Prescripta

Market Research for greater user viability, Greater discussion with the necessary professionals so we can solve a much bigger problem sometimes or seeing if any gaps were not covered and for further insights pertaining to struggles for medical proffessionals and patients