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Open-Source-Recommender

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Commits

List of commits on branch main.
Unverified
95405d5c950984d6305726311f6993f4b885d746

fix: model type

HHk669 committed 6 months ago
Unverified
01e3ebce9ba6562d7cece49af4fb049decd99241

updates: models bump

HHk669 committed 6 months ago
Unverified
aa1a2a024ab6cfa4e1c957261e534158463ee1b9

updates: db bump

HHk669 committed 6 months ago
Unverified
6a52ced69c0c6a5a15527d1985073955e181635c

updates: server api

HHk669 committed 6 months ago
Unverified
22e78018e5542cd7038f1b9fa20b60648760f2d2

gitmatch.in update

HHk669 committed 6 months ago
Unverified
e1869df72860384bbb1725b414012e014f0034e0

update: v2 daily limit and previous recommendations

HHk669 committed 6 months ago

README

The README file for this repository.

Open-Source Recommender

https://github.com/user-attachments/assets/fc2f9fbe-682e-406d-8c7b-d9f192889a4f

This will be a free public-facing web application designed to find open-source projects for beginners and developers available at gitmatch.in.

Search your next contribution to open source easily! A free web app is here to help every developer find cool open-source projects of interest that fit their skillset. Just enter your GitHub username; our intelligent recommender system will do the rest.

Give it a star⭐, if you support my intiative to help beginners start with open source!

Why Use Open-Source Recommender

  • Perfect for Beginners: Jump into open source with projects perfect for your current skill level.
  • Tailored Recommendations: Recommendations on projects based on your GitHub profile, preferred languages and interests.
  • Expand Your Horizons: New technologies, new projects you never would have crossed.
  • Absolutely Free: Just free – gift to the developer community.

How It Works

architecture

  1. Retrives user repositories details which include, languages, topics, and description
  2. Collects the best open source projects from the GitHub based on user's topics and languages
  3. Processes the open source repositories through the embedding model deployed in the Azure OpenAI Studio
  4. Stores the resulting embeddings in ChromaDB (VectorStore)
  5. Converts the user's repository languages, topics, and descriptions into embeddings using the embedding model
  6. Perform a similarity search with the embeddings to find the most relevant open source projects
  7. Delivers personalized recommendations to the client

Features

  • User-Friendly Interface: Clean, intuitive design for seamless performance.
  • GitHub Integration: Bases Users and Projects on the GitHub API for proper user data and details of projects
  • Smart Recommendations: It fits appropriate projects to each user using robust algorithms.
  • Diverse Project Pool: Multiple projects from different domains and projects which are of any difficulty level
  • Quick Access: There are multiple direct links to recommended projects to access them fast.

feel free to drop your suggestions and issues at Discussions

Get Started

checkout gitmatch.in, and if you want to leverage the true power of the gitmatch, follow steps

Feedback

If you have any suggestions, find any bugs, or have success stories you'd like to share with me, please do so. Your input will make the experience better for all.

License

This project is licensed under the MIT License. See the LICENSE file for details.