AIHealthAssistant

AIHealthcareAssistant

Inspiration

The Project has been inspired by the fetal mortality faced by marginalized community and the lack of public awareness regarding the healthcare infrastructure and diagnosis available to them.

It aims to reduce errors during prescription of drugs especially that could happen due to communication barriers or human erros and also provides accessibility to people from different communities who may speak different language from the available physicians. It is an assistant for doctors, patients and community workers alike.

We build it using Android SDK and the backend is written with Python & Flask. We also integrated Redis to store patient and Doctor details and additionally, make use of Google CLoud technology to deploy our backend system.

Challenges we ran into We ran into

Limited public datasets for the medicine chemical composition. Also, lack of patient and doctor appointment transcript datasets, which made it difficult to create a model that could compare the appointment transcript and the prescription.

Accomplishments that we're proud of

The app is a fully functional product which connects multiple communities, we have deployed out backend to cloud, and the algorithm gives good recommendations based on publicly available datasets.

What we learned

We have learned about patient safety and problems that are faced today especially by marginalized communities.

What's next for AIHealthAssistant

Lost of possibilities, can be expanded using patient history and tracking of patient allergies or precious reactions. Can also be connected to healthcare workers.

Built With

Submitted to

HackSC X

Created by

I managed the backend infrastructure, leveraging technologies like Redis, Docker, Google Cloud Run, Python, and Flask. My responsibilities included configuring and integrating these components seamlessly with the Android Application, while also orchestrating the overall project's architectural design for effective synergy among its elements.

Aditya Sharma
I worked on the android
front-end of building this project. I learned a lot in this event, debugging the errors, fun time networking and would love to attend upcoming HackSC Hackathons.

Akash Singh
Currently a student open for internship and job opportunities.
In my role during the hackathon, I was responsible for conceptualizing, designing, and implementing the project. I developed a Python script that facilitated the creation of an API, which is integral for processing audio transcripts. This script is adept at identifying and extracting key medical terminology and verifying the accuracy of medication information prior to its dispatch to pharmacies.

Anneketh Vij
Software Engineer | AI Researcher | MS CS AI @ USC

Updates

Aditya Sharma started this project — Nov 05, 2023 03:59 PM EST

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