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I wrote a console tool in Python for searching GitHub repositories based on semantic descriptions. The program solves a simple problem — the standard GitHub search only looks for exact words in the title, while this tool understands the meaning of the query.

The user enters a short description in 2–3 words, such as "data visualization" or "telegram bot," and the program finds the most suitable repositories by itself. Under the hood, TF-IDF and Cosine Similarity algorithms work — they convert text into numerical vectors and compare them with each other.

The project is written in pure Python without third-party libraries. The code is divided into modules with a separation of responsibilities: a separate file for algorithms, for working with the API, for error handling with logging. The GitHub token is optional — it works without it, but is faster with it.
Work details
Added 11 April
106 views
Freelancer
Heorhii Zhukov
Ukraine Kyiv  21  0

Available for hire Available for hire
21 Safes completed
On the service 9 months 4 days