# KEV0143/Telegram-MedicalBot

Система поддержки пользователей в Telegram: обработка пользовательских вопросов через тикет-систему и генерация ответов оператору как на основе базы знаний, так и с помощью AI.

Repository: https://github.com/KEV0143/Telegram-MedicalBot
Canonical: https://ross.abutalabs.com/products/telegram-medicalbot
Homepage: https://web.telegram.org
Language: Python
License Family: other
Last push: 2025-11-15T10:47:56+00:00

## Health v2 (maintenance only)
Score: 43/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 52, release rhythm 35, longevity 37
- inputs: {"age_days": 519, "days_push": 291, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2039, forks 0 (observed 2026-08-28T04:06:08.290959+00:00)

## What it is
A Telegram-based user support system for medical inquiries that manages user questions through a ticket system. It generates suggested responses for operators using both a curated knowledge base and AI-generated answers.

## Use cases
- run a medical support bot on telegram
- handle user questions with a ticket system
- generate ai-suggested replies for support operators
- answer patient questions from a knowledge base
- build a telegram helpdesk bot in python

## When to choose
- you need a telegram support bot with ticketing and AI-assisted replies
- you want operator-assisted medical Q&A combining a knowledge base with LLM answers

## When to avoid
- you need a fully automated chatbot without human operators
- you require a licensed, medically validated solution
- you need a support system outside Telegram

## Facets
- artifact type: application
- maturity: active
- function: chatbot, agent-framework, llm-inference, workflow-automation
- domain: chatbots, healthcare, large-language-models
- platform: python, self-hosted
- tags: telegram-bot, ticket-system, medical-support, knowledge-base, customer-support, automation, telegram

## Member repositories
- KEV0143/Telegram-MedicalBot (main) score 43

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:08.290959+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:59:11.619550+00:00, confidence not recorded.
  - readme: https://github.com/KEV0143/Telegram-MedicalBot (fetched 2026-08-28T04:06:08.290959+00:00, sha eb4bd64f7014)
  - homepage: https://web.telegram.org (fetched 2026-08-29T10:38:36.283108+00:00, sha 01b037329602)
- Data as of 2026-08-30T08:39:29.467469+00:00.