Project Update: Scaling CareBuddy AI for Global Impact
We are thrilled to share the latest progress on CareBuddy AI—a localized, zero-cost medical and nursing guidance platform powered by the Google Gemini API. What started as a lightweight prototype has evolved into an AI-native healthcare dashboard built to democratize primary triage in regional languages (Bengali).
What’s New in CareBuddy AI
- Gemini API Triage Engine: Refined system prompts for real-time Bengali medical intent classification, emergency prioritization, and nursing care advice.
- Interactive Health Tools: Integrated dynamic BMI/BMR calculators directly into the Streamlit interface.
- Monetization Framework: Built an AdSense placeholder architecture alongside micro-transaction capabilities to keep the service 100% free for end users.
- Mobile-First Infrastructure: Built, compiled, and deployed using
AcodeandPydroid 3on serverless architecture.
Technical Milestone: Core Gemini Triage Prompt
Here is a snippet of the intent-routing logic powering our Gemini integration:
import google.generativeai as genai
def generate_health_guidance(user_query: str) -> str:
system_instruction = (
"You are CareBuddy AI, a supportive nursing assistant. "
"Provide emergency triage, clear first-aid advice, and empathetic guidance "
"in plain Bengali. Always recommend professional clinical care for severe symptoms."
)
model = genai.
## Impact & Traction So Far
Metric Current Status
Active Users Acquired 15+ early testers
Primary LLM Engine Google Gemini API (Vertex AI)
Infrastructure Cost $0.00 (100% Free Tier Optimized)
Early Validation Revenue $0.85 USD (100 BDT micro-transaction)
## What’s Next?
Migrating from staging to a custom domain (.com/.xyz).
Integrating Google AdSense for sustainable ad-supported operations.
Setting up full CI/CD pipelines and automated testing for core prompt stability.
Stay tuned for further updates! Drop your feedback or questions in the comments below.

Log in or sign up for Devpost to join the conversation.