In a small village far from the city, lived a young girl named Anaya who dreamed of becoming a teacher. One evening, her father suddenly fell ill with chest pain and dizziness. With no hospital nearby and no doctor available, panic filled the house. Anaya remembered the new AI Telehealth Companion App installed on her phone for emergencies. She opened the app, checked her father’s symptoms using the AI scanner, and the app immediately highlighted warning signs of a possible cardiac issue. It guided her step-by-step on what to do, monitored his vitals, and connected her to an online doctor within minutes. The doctor advised immediate first aid, helped stabilize her father, and arranged for an ambulance. Her father survived—all because help was just a tap away.

From that day, the entire village started using the app, realizing that technology wasn’t just convenience—it was life-changing. Anaya later said, “I didn’t just save my father. I saved hope.”

This story reminds us that digital healthcare can reach where hospitals cannot, giving every person—whether in a city or a remote village—a chance at timely care and a healthier future.

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for AI Telehealth Companion App

Built With

• and
• and-appointments
• and-firebase-storage-for-uploading-health-records.-the-ai-symptom-checker-is-powered-by-the-openai-gpt-api
• and-online-video-consultations-are-supported-through-the-jitsi-meet-sdk.-notifications-and-reminders-were-implemented-using-firebase-cloud-messaging-(fcm).-overall
• firebase-firestore-for-storing-user-data
• for
• healthcare
• optimized
• real-time
• scalable
• the-solution-is-fully-cloud-based
• this-project-is-built-using-base44-as-the-primary-platform-for-app-development.-the-frontend-is-designed-using-react-native-/-react.js
• vitals
• while-the-backend-is-powered-by-node.js-and-express.-we-used-firebase-authentication-for-secure-login