Ayush-Healo

Family Gene tree
Daily Routine Check-up
Login Interface
Blood Donation Request
dashboard interface
AI chat bot with emotion detector and support
Gamified Knowledge
Security Login and Support
SOS

Inspiration

Post-discharge patients often feel isolated, confused, and unsupported during their recovery. We realized that while hospitals focus on treatment, there is a gap in personalized, continuous support once a patient returns home. Inspired by stories of recovery struggles, especially among patients with chronic conditions and limited health literacy, we set out to build Ayush-Healo — an AI-powered neuro-wellness assistant that bridges this gap with care, intelligence, and human-like interaction.

What it does

Ayush-Healo is a gamified post-discharge recovery and donation-support platform that empowers patients and donors with:

🧠 AI-powered daily check-ins: Personalized to both medical and emotional state
🎯 Gamified health milestones: Recover, learn, and get rewarded
🔐 Secure health data locker: Shareable with doctors, encrypted on-device
📸 Selfie/video-based tasks: Patients do smile-checks, face relaxation games, learn about anatomy using AR
🗣 Multilingual health AI: Asks, listens, reminds, and supports — even offline
🧬 All-disease support: Built for cancer, genetic disorders, trauma, neuro and more
🧭 Donor–Recipient AI match: Notifies hospitals & families instantly when a match is nearby
⏱ Real-time donor eligibility tracker: Detects if a donor is emotionally, legally and biologically ready
📡 Emergency fallback & AI override: If the patient is unresponsive or vitals crash, the AI takes over — alerting contacts, doctors, and initiating self-navigation (SARTHI-mode crossover)
🎥 Screenshot and screen record alerts: Privacy-respecting and foolproof
🧘 Emotional-AI insights: Detects mood swings, provides relaxation audio/video, and nudges therapy when needed

How we built it

We used a combination of:

Flutter for the cross-platform mobile app
Firebase for user authentication and real-time data
TensorFlow & DeepFace for facial emotion, age, and drowsiness detection
LLMs (Local + Online) to power the AI chatbot for health Q&A and guidance
Secure backend logic for privacy protection and medical alert routing
VR & AR modules for an interactive anatomy and condition-learning game

Challenges we ran into

Integrating offline LLM models with limited mobile resources
Creating a real-time emotion recognition system that respects user privacy
Handling medical data securely while complying with privacy best practices
Designing a gamified flow that feels helpful, not overwhelming
Aligning multilingual voice AI with context-specific health queries

Accomplishments that we're proud of

A complete offline + online AI assistant tailored for post-hospital recovery
Real-time facial + health monitoring features, tested successfully
Innovative gamification of health routines through fun check-ins and tasks
Privacy features rarely seen in health apps — screenshot alerts, camera control
Built a secure communication system between patient, caregiver, and doctor

What we learned

Personalization and empathy matter in healthcare apps more than flashy tech
AI can greatly assist but must remain transparent and respectful
Designing for vulnerable users requires balancing security, clarity, and comfort
It’s possible to combine technical ambition with real-world impact in a short hackathon timeframe

What's next for Ayush-Healo

Integration into AyushVANI(our ongoing project): Ayush-Healo will serve as the recovery and donor-care arm of the larger AyushVANI neuro-wellness ecosystem, allowing seamless AI continuity from hospital discharge to daily wellness.
Universal Disease Coverage: Unlike condition-specific apps, Ayush-Healo is built to adapt across nearly all health problems — from chronic illnesses like diabetes and cancer to rare genetic disorders and surgical recovery. Its AI evolves with user health needs.
AI-powered Donor–Recipient Bridge: A unique upcoming feature will intelligently **match donors and recipients in real time based on medical urgency, location, transport feasibility, and consent — creating an emergency-ready donor pipeline.
Donor Readiness AI: The system will **assess donor eligibility in real time (based on health data, emotional state, recent medications, etc.) and alert when a donor is physically and legally ready — something most systems ignore.
Emotion + Vital Sync Alerts: Combines facial emotion, voice tone, and vitals (via wearable or camera cues) to **predict emotional or physical crashes before they happen — useful for at-risk patients.
Neuro-Adaptive Interface: The app's interface will adjust based on the user’s mental fatigue, cognitive load, and expression. For example, it becomes simpler and calmer when the user appears distressed.
Local & Global Health Data Learning: With user consent, Ayush-Healo will help train models to recognize rare disease patterns, improving rural healthcare and emergency predictions globally.
Cross-border SOS Integration: In future versions, Ayush-Healo will be able to trigger **international medical rescue chains, especially for Indian diaspora or medical tourists.