NeuroCare

Inspiration

Alzheimer’s disease affects millions of families worldwide, yet early detection and long-term care remain complicated, expensive, and emotionally overwhelming. We were inspired by a simple observation: if we can detect cognitive decline early and support caregivers with the right tools, we can drastically improve quality of life. This idea motivated us to build an AI-powered ecosystem that supports patients, caregivers, and doctors — not just a diagnostic tool, but a full healthcare companion.

What it does

NeuroCare detects early Alzheimer’s risk using AI-powered MRI and cognitive analysis. It also provides caregiver tools, emergency support, hospital locator, and a secure health vault. The platform acts as a complete ecosystem for long-term brain health.

How we built it

We used React + Tailwind for the frontend, FastAPI/Node.js for the backend, and a deep-learning model trained on MRI datasets for risk prediction. Grad-CAM, encrypted storage, and geolocation APIs were integrated to create an end-to-end healthcare solution

Challenges we ran into

Handling medical datasets, ensuring model accuracy, and reducing inference latency were major hurdles. We also faced difficulties integrating secure encrypted storage and building a caregiver-friendly UI that works for elderly users.

Accomplishments that we're proud of

We built a fully functional AI model with explainability, integrated real-time hospital locator features, and created a clean, accessible interface. Most importantly, we transformed a diagnostic idea into a complete caregiving ecosystem.

What we learned

We learned how to design clinically meaningful AI systems, implement security-first healthcare workflows, and build multi-role access systems. The project taught us to combine AI, usability, ethics, and human-centered design.

What's next for NeuroCare

We plan to add wearable-device integration, real clinical validation, and a doctor portal with EHR compatibility. Our next focus is deploying NeuroCare as a scalable platform that supports families and caregivers globally.

Built With

• aes-256-encryption
• docker
• geolocation-apis-cloud-&-deployment:-render-/-railway-/-aws-(ec2
• matplotlib-database:-mongodb-/-postgresql-authentication-&-security:-jwt-auth
• numpy
• onnx-runtime-model-explainability:-grad-cam
• opencv
• pandas
• postman
• react
• role-based-access-control-apis-&-integrations:-google-maps-api-/-openstreetmap
• s3)-dev-tools:-github
• scikit-learn
• shadcn-ui-backend:-fastapi-/-node.js-(express)-ai-&-ml:-python
• tailwind-css
• tensorflow/pytorch
• vs-code