Diabetic Care is a web platform designed to help people living with diabetes monitor their blood glucose, receive personalised diet and exercise recommendations, connect with a community, and access an AI-powered virtual coach — all in one place.
Managing diabetes day-to-day is exhausting. Patients juggle glucose monitors, meal logs, exercise routines, doctor appointments, and medication schedules — typically across multiple disconnected tools. Diabetic Care brings all of that into a single, calm, and motivating experience.
The core question: How do you design a health platform that feels supportive and personal — not clinical and overwhelming — for a user managing a lifelong condition?
After onboarding completes, a branded loading screen gives the system time to personalise the dashboard — setting expectations and reinforcing the Diabetic Care identity before the data appears.
An AI-powered chat interface with session history. The coach reads the patient's CGM and activity data, surfaces relevant articles, and generates personalised responses — not generic advice.
Channel-based social feed where patients connect with groups like Fitness & Fight, Diabetics And Food, and Healthy Life. Posts, likes, comments, and mention notifications are surfaced in a personal activity panel.
Peer-to-peer and group messaging with diabetes communities. The AI coach can join conversations — surfacing relevant articles mid-chat when the context warrants it, without being intrusive.
White backgrounds, soft blues, and generous whitespace throughout. Medical dashboards often feel dense and anxiety-inducing — this needed to feel reassuring. The "All Looks Good" greeting on the dashboard is intentional emotional design.
The 3-step onboarding collects enough data to make the dashboard genuinely personal from day one. A glucose chart that shows the user's actual range, exercises tuned to their activity level, and food logs relevant to their insulin type.
A red Emergency Help button sits at the top right of the dashboard — persistent and impossible to miss. For a product serving a population at risk of hypoglycaemic episodes, this wasn't a feature. It was a responsibility.
When the virtual coach surfaces a recommendation, it tells the patient why — "John, as per your data on Diabetics, I will recommend this article." Trust in AI health tools comes from transparency, not just accuracy.
Glucose tracking, diet, exercise, AI coaching, community, live chat, leaderboard, and R&D hub — unified.
Health profile collected before the dashboard — so day one is already personal, not generic.
The virtual coach cross-references CGM data and activity logs to give advice specific to each user.
Patients no longer need separate apps for glucose, diet, community, and coaching.