Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Naod-Demissie/Telegram-Medical-Data-Warehouse

Domaine:

healthcaredigital infrastructure

Type de record:

softwareproject
Créateur:
Nao
Hôte:
This project design and implement a robust data warehouse for Ethiopian medical businesses by building scalable ETL/ELT pipelines to scrape, clean, and integrate web and Telegram data, incorporating YOLO-based object detection for enhanced analysis. # Telegram Medical Data Warehouse This project involves building a data warehouse to store and analyze data on Ethiopian medical businesses by scraping information from Telegram channels and integrating object detection using YOLO. The system includes data extraction, cleaning, transformation, storage, and exposure via a FastAPI-based API for seamless access and analysis. ## Project Structure ``` ├── notebooks │ ├── 1.0.data-prepocessing-and-exploration.ipynb │ ├── 2.0-database-setup.ipynb │ ├── 3.0-object-detection.ipynb │ ├── README.md │ ├── __init__.py │ ├── src │ ├── README.md │ ├── __init__.py │ ├── preprocess.py │ ├── scrape.py │ ├── visualize.py │ ├── create_db.py │ ├── predict.py │ ├── scripts │ ├── __init__.py │ ├── scrape.sh │ ├── tests │ ├── __init__.py │ ├── data │ ├── processed │ │ ├── cleaned_data.csv │ │ ├── detections_results.csv │ │ ├── telegram_messages.db │ ├── logs │ ├── data_cleaning.log │ ├── data_scraper.log │ ├── database_setup.log │ ├── assets │ ├── fonts │ │ ├── NotoSerifEthiopic_Condensed-Regular.ttf │ ├── app/ │ ├── __init__.py │ ├── main.py │ ├── database.py │ ├── models.py │ ├── schemas.py │ ├── crud.py │ ├── .env ├── .gitignore ├── README.md ├── requirements.txt ``` ## Installation 1. Clone the repository (if applicable): ```sh git clone github.com cd Telegram-Medical-Data-Warehouse ``` 2. Create a virtual environment (optional but recommended): ```sh python -m venv venv source venv/bin/activate # On macOS/Linux venv\Scripts\activate # On Windows ``` 3. Install dependencies: ```sh pip install -r requirements.txt ``` ## Running the Application Start the FastAPI app with Uvicorn: ```sh uvicorn main:app --host 0.0.0.0 --port 8000 --reload ``` - Replace `main` with the filename of your FastAPI app (e.g., `app.py`). - The `--reload` flag enables automatic restarts on code changes (useful for developmen …

Visit

github.com

Languages

Amharic

Similaires

Alebachew424/telegram-medical-data-warehouseNaod-Demissie/EthioLang-LLMHabtu32/medical-telegram-warehouseKalalayu/medical-telegram-warehouseTsegayIS122123/medical-telegram-warehouseGebSenait/medical-telegram-warehouse

Alebachew424/telegram-medical-data-warehouse

An end-to-end data pipeline for scraping, transforming, enriching, and serving Ethiopian medical bus

Naod-Demissie/EthioLang-LLM

This repository develops an Amharic language model using LLaMA 3.1 (3B). It includes training a cust

Habtu32/medical-telegram-warehouse

This data platform harnesses public Telegram data on Ethiopian medical businesses to extract, proces

Kalalayu/medical-telegram-warehouse

End-to-end data pipeline for Telegram medical data in Ethiopia ## Production Hardening Improvements

TsegayIS122123/medical-telegram-warehouse

End-to-end data pipeline for Ethiopian medical Telegram channels - from raw data scraping to analyti

GebSenait/medical-telegram-warehouse

Analytics warehouse that transforms Ethiopian medical Telegram data into structured insights using f