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medical-risk-screening-telegram-rpocket-team-bot

Multi-model Telegram bot for early diabetes and heart disease risk screening, powered by XGBoost — not a diagnostic tool.

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GITHUB · launched Nov 5, 2026 · 59 upvotes (top 57%) · 0 views

Niche: digital health and therapy platforms · 115 launches, 12 in the last 7 days ▲ +9% · Explore this niche →

Category and tags

  • Healthcare
  • Analytics & BI
  • B2C
  • AI-native
  • Hobby / open-source project
  • free-hosting
  • google-ai-studio
  • openai-api
  • poisson
  • poisson-distribution
  • prediction-model
  • +6 more

Visit website ↗ Source listing ↗

Could you build this?

Partial A Telegram bot that runs an XGBoost model on user-entered values is quick to build from public diabetes and heart datasets. Making the risk output clinically valid and appropriate for users needs medical expertise and validation data, and health-adjacent products carry regulatory exposure.

What it would actually take: Stack would be a Telegram bot framework with a Python model-serving layer. The hard part is clinical validity: a model trained on properly sourced, representative patient data, external validation, calibration, and clinician review, plus privacy and regulatory guidance for health data.

Competitors

Other products that read as similar to this one : 82 launches clear the similarity bar, closest 8 shown.

Attention rank: #23 of 83 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 363 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.