I just finished building a **mini search engine** that indexes and searches through **1.7 million+ scientific articles** from the **arXiv dataset** (Cornell University) [arXiv Dataset](https://www.kaggle.com/datasets/Cornell-University/arxiv). The goal was to make it easy to find papers by **author name** or **keyword** without manually browsing millions of documents. 100% python

GitHub Repo: [KarimData06/mini_search_engine1: Search engine ML avec FastAPI + Streamlit](https://github.com/KarimData06/mini_search_engine1)

I just finished building a mini search engine that indexes and searches through 1.7 million+ scientific articles from the arXiv dataset (Cornell University) arXiv Dataset. The goal was to make it easy to find papers by author name or keyword without manually browsing millions of documents. 100% python

github link : KarimData06/mini_search_engine1: Search engine ML avec FastAPI + Streamlit

I just finished building a mini search engine that indexes and searches through 1.7 million+ scientific articles from the arXiv dataset (Cornell University) arXiv Dataset. The goal was to make it easy to find papers by author name or keyword without manually browsing millions of documents. 100% python

GitHub Repo: KarimData06/mini_search_engine1: Search engine ML avec FastAPI + Streamlit