Health Vision

Inspiration

The inspiration behind Health Vision is to leverage AI for efficient and accurate disease detection using X-ray images, improving healthcare accessibility.

What it does

Health Vision allows users to upload X-ray scans, preprocesses images, and applies deep learning models for real-time disease diagnosis, enhancing medical decision-making.

How we built it

We built Health Vision using a combination of deep learning frameworks, image processing techniques, and intuitive user interfaces to create a seamless and effective medical diagnostic tool.

Challenges we ran into

Challenges included dataset curation, model optimization, and user interface design. Overcoming these hurdles strengthened our technical and collaborative skills.

Accomplishments that we're proud of

We're proud to have developed a functional prototype that demonstrates the potential of AI in healthcare, providing quick and accurate diagnoses through user-friendly interfaces.

What we learned

We learned the intricacies of medical image analysis, the importance of collaboration in interdisciplinary projects, and the impact of AI in addressing healthcare challenges.

What's next for Health Vision

The future involves refining the model with more diverse datasets, incorporating user feedback, expanding disease detection capabilities, and collaborating with healthcare professionals for real-world implementation.

Built With

• and-backend-logic)-html
• angular)
• azure
• css
• databases-like-postgresql
• django-for-building-the-web-application)-platforms:-web-based-application-platform-for-user-interaction-cloud-services:-cloud-platforms-like-aws
• docker
• flask
• image-processing
• javascript-(for-frontend-development)-frameworks:-deep-learning-frameworks-(e.g.
• languages:-python-(for-deep-learning-models
• mysql
• opencv)-user-interface-libraries-or-frameworks-(e.g.
• or-google-cloud-for-hosting-and-scalability-databases:-depending-on-data-storage-needs
• or-nosql-databases-apis:-integration-of-medical-imaging-apis-or-libraries-for-image-analysis-other-technologies:-image-processing-libraries-(e.g.
• pytorch-for-model-development)-web-framework-(e.g.
• react
• tensorflow