abrehamashebir/e-commenrce-data-analysis

This project provides an end-to-end solution for extracting business entities from Ethiopian Telegram e-commerce channels. The system identifies products, prices, and locations in Amharic-English mixed text, then analyzes vendor activity to generate lending scores for micro-finance decisions. # e-commenrce-data-analysis This project provides an end-to-end solution for extracting business entities from Ethiopian Telegram e-commerce channels. The system identifies products, prices, and locations in Amharic-English mixed text, then analyzes vendor activity to generate lending scores for micro-finance decisions. ## Extract products, prices & locations from Ethiopian Telegram channels** *Fine-tuned for Amharic text with vendor scoring for micro-loans* ## 🚀 Project Structure ```bash e-commenrce-data-analysis ├───.ecommerce-venv ├───.github │ └───workflows ├───data ├───notebook ├───scripts ├───src └───test ``` ## 🚀 Quick Start ### Prerequisites - Python 3.8+ - Telegram API ID & Hash (get here) ## Clone and setup ```bash git clone github.com cd e-commenrce-data-analysis ``` ## Environment Variable ### Linux ```bash python -m venv venv source venv/bin/activate ``` ### Windows ```bash python -m venv venv venv\Scripts\activate ``` # Install dependencies ```bash pip install -r requirements.txt ```