Medi Nudge
AI Health Companion:Personalized Nudges for Health
Created on 7th September 2025
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Medi Nudge
AI Health Companion:Personalized Nudges for Health
The problem Medi Nudge solves
Pitch Deck
https://docs.google.com/presentation/d/1LLEIQPgDJjnijjMjqVvr_QmuaeVGGOYsVdjnSjkkbqU/edit?usp=sharing
In 2025, when you are concerned about your health, you often open ChatGPT and pour out your questions and worries. But models like Gemini Pro or GPT-5 are not built to manage your condition long term. They do not remember when you developed a condition, how long you’ve been sick, or your medical history. They only respond when you prompt them.
Managing health or recovering from illness is easier and less stressful when someone checks in, keeps you accountable, and nudges you to take your meds or ask about your sleep. With these intelligent models, these nudges go beyond simple yes/no notifications your responses are mapped to your progress.
Since these models also hold strong medical knowledge, they can act as a point of contact, like a search engine, to help you understand your condition better, more personalized since these models are context aware.
Problem statement and Inspiration
The journey behind MediNudge began from a personal experience of the creator, who faced several health challenges and interacted with AI daily. These interactions provided valuable insights, but one critical element was missing: proactive, intelligent notifications that could help maintain consistency in health management.
Recognizing this gap, the creator envisioned MediNudge as a solution that not only provides personalized reminders but also fosters accountability and educational support. The AI behind MediNudge is designed to adapt to the user’s unique health journey, offering tailored nudges that reflect their current condition and progress. This means that users receive not just generic reminders, but thoughtful prompts that help them stay on track and manage their health more effectively.
Additionally, MediNudge serves an educational role. By leveraging AI’s vast knowledge, it helps users understand their conditions better, reducing anxiety and making health management more transparent and manageable.
In essence, MediNudge is not just an app; it’s a supportive, intelligent companion that makes managing health more consistent, less stressful, and more effective.
The Future Vision
- Medi Nudge can be an app that hosts a suite of health assistants catered to specific health goals such as diabetes and weight management.
- Voice enabled AI chat, with support for other Indian languages by integrating ElevenLabs
- Allows users to upload prescription, and store specific details of your diagnosis and medicine doses and remind you of your doses as well.
- Support for suggesting nearest doctors and booking appointments with just a prompt on Practo.
- Generate detailed reports and dashboards of progress which doctors and the user themselves can track
- Personalized weekly, monthly, yearly goal setting based on the condition, and providing detailed illness recovery and health management plans.
Instructions to view the app
We have uploaded an android apk.
- Click on the drive link
- Click to download the apk
- Provide permission in android to allow downloads from unknown apps
- Install the app
Challenges we ran into
The biggest challenge in building MediNudge was deciding what to prioritize in a very short timeframe. Since the app required three layers, a mobile interface, a data pipeline, and an LLM service, we had to break the vision down into a core experience that could be realistically demonstrated within the hackathon. This meant constant trade-offs between features we wanted versus features that showcased the concept clearly.
Another challenge was balancing proactivity with usability. Notifications are central to MediNudge, but we needed a structure where nudges felt meaningful without overwhelming the user. That required setting rules for how the AI should time and phrase them, which was difficult to refine in such a short window.
Personalization was also a product design hurdle. Each user’s condition is different, so we had to create a system that felt adaptable while still being simple enough to implement quickly. On top of this, the educational layer—where the AI explains health insights, had to be concise and user-friendly, rather than medical jargon.
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