Hitaya

Inspiration

Remote areas where healthcare is unreachable at time

What it does

Hitaya is a one-stop solution, a medical diagnosis App that can allow users to upload medical data or x-ray scans, and the APP will predict whether a patient has any disease or not

How we built it

Machine Learning has been revolutionizing on healthcare domain. ML models can now detect patterns underlying diseases. In this way, AI techniques can be considered as the second pair of eyes for doctors, that can decode patient health knowledge extracted from large data sets by summing up facts & observations of diseases.

Challenges we ran into

Accuracy with the models & right amount data to be gathered to train models

Accomplishments that we're proud of

• currently supports 8+ types of commonly diagnosed diseases
• Users/Doctors can input images of x-ray scans/ medical data/ or just images and our - Application will give them the diagnosis results.
• Using Generative AI to give user health Recommendations or Provide Diet Plans.
• Diagnostic System to predict the risk of a disease based on user data.

What we learned

How tech can be applied to healthcare for good

What's next for Hitaya

Lower latency with limited compute power

Explanatory Blogs

https://itsjb13.medium.com/hitaya-oneapi-healthcare-for-underserved-communities-5b4a563f08f7

https://itsjb13.medium.com/hitaya-oneapi-machine-learning-model-training-using-intel-oneapi-53b06e92b21c

https://itsjb13.medium.com/hitaya-oneapi-skin-cancer-detection-using-intel-optimization-for-tensorflow-eb95d54564af

https://itsjb13.medium.com/hitaya-informatica-data-engineering-hackathon-2024-c7185a486026

https://medium.com/@raj713335/hitaya-oneapi-liver-disease-machine-learning-model-prediction-using-intel-oneapi-78129d193bb9

https://medium.com/@raj713335/hitaya-oneapi-breast-cancer-machine-learning-model-training-using-intel-oneapi-797bf1521301

Built With

• fastapi
• mongodb
• python
• react