dSugar

Inspiration

During a Biodesign Workshop at JIPMER, I was exposed to the real struggles of patients and doctors dealing with diabetic foot ulcers. I realized how difficult data collection and early detection can be, especially in rural India. That’s when the idea of building something meaningful—like a comprehensive, patient-friendly app—first took shape.

What it does

The concept of dSugar is to act like a virtual personal doctor for diabetic patients. It aims to:

Detect foot ulcers using AI image analysis

Track blood sugar levels, symptoms, and medications

Provide personalized lifestyle guidance

Offer multilingual and voice-based support

Summarize patient data for easy doctor review

How we built it

How we plan to build it The vision includes:

Using a CNN model to detect ulcers from foot images

Building a clean mobile interface for patients

Incorporating diet, exercise, and habit coaching

Designing a doctor dashboard with patient summaries

Adding support for regional languages and voice commands

Challenges we ran into

Challenges we anticipate

Finding or creating reliable Indian datasets Making it usable and accessible for all literacy levels Ensuring that AI guidance remains medically sound Bridging the language and tech gap for rural users

Accomplishments that we're proud of

Identifying a real-world healthcare problem worth solving Designing a solution that puts patient comfort and care first Planning for AI + human empathy in one app concept

What we learned

Listening to patients is the first step in solving real problems

Good healthcare solutions need more than tech—they need context and care

Language, culture, and simplicity matter just as much as AI

What's next for dSugar

Building a prototype for image-based ulcer detection

Collaborating with doctors for feedback and validation

Developing a multilingual, interactive app interface

Eventually turning it into a tool that empowers diabetic patients across India

Built With

• artificial
• data
• doctor
• health