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https://github.com/mlsanigeria/speak-to-docs

Speech-enabled Retrieval-Augmented Generation solution
https://github.com/mlsanigeria/speak-to-docs

artificial-intelligence azure genai hacktoberfest llms open-source rag

Last synced: about 2 months ago
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Speech-enabled Retrieval-Augmented Generation solution

Host: GitHub
URL: https://github.com/mlsanigeria/speak-to-docs
Owner: mlsanigeria
License: mit
Created: 2024-09-24T11:39:48.000Z (4 months ago)
Default Branch: main
Last Pushed: 2024-11-04T08:48:04.000Z (2 months ago)
Last Synced: 2024-11-09T02:02:45.539Z (2 months ago)
Topics: artificial-intelligence, azure, genai, hacktoberfest, llms, open-source, rag
Language: Python
Homepage: https://speak-to-docs.streamlit.app/
Size: 307 KB
Stars: 9
Watchers: 4
Forks: 31
Open Issues: 1
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

        # **Hacktoberfest Open Source Challenge 2.0**

Welcome to the Hacktoberfest Open Source Challenge 2.0 organized by the Microsoft Learn Student Ambassadors Community! We're thrilled to have you on board for this exciting journey of collaboration and open-source contributions.

## **About the Challenge**

This challenge focuses on two main tracks:

1. **Speech-Enabled RAG Solution**: A project leveraging Microsoft Azure AI Services to build a Retrieval-Augmented Generation (RAG) solution where users can upload any document and interact with it through audio. The system allows for both audio input and audio responses, providing a seamless voice-based interaction with your documents. Want to learn more about the project? Check the [Contribution Guidelines](CONTRIBUTING.md) for insights on what to build.  

2. [**Crime Trend and Fatalities Prediction in Nigeria**](https://github.com/mlsanigeria/nigeria-crime-trends): This project aims to analyze crime trends in Nigeria and build one machine learning model to predict crime-related fatalities. Participants will perform a full analysis of the dataset from [ACLED](https://acleddata.com/), including data cleaning, exploratory data analysis (EDA), and model building. An existing analysis at the Africa level can be used as a reference for participants. You can check out the notebook here for ideas on how to conduct a comprehensive analysis for Nigeria.

## **How to Participate**

1. **Register for Hacktoberfest**: Head over to the [Hacktoberfest website](https://hacktoberfest.com/) to register. Your contributions to this repository will count towards your Hacktoberfest progress.

2. **Fork the Repository**: Start by forking the repository to your GitHub account.

3. **Contribute to the Speech-Enabled RAG Solution**: This repository is dedicated to developing the Speech-Enabled RAG Solution. Make your contributions by fixing bugs, adding new features, improving documentation, or addressing issues. Check out our [Contribution Guidelines](CONTRIBUTING.md).

4. **Submit a Pull Request**: Share your contributions by submitting pull requests. Please follow our contribution guidelines outlined in the project's README.

### **Still Confused About How to Get Started? 🤔**

Watch the recording of our info session on how to participate in this challenge on [YouTube](https://youtu.be/4CJOr4o1MVI?si=D7lHnt6N0kG8DQJH).

## **🏆 Leaderboard**

We maintain a leaderboard to track your contributions and their impact on our projects. The more you contribute, the higher you'll climb on the leaderboard.

### Top 10 Contributors

Thank you to all our fantastic contributors for their hard work and dedication! Here are our top 10 contributors:

| S/N | Rank || Contributor | Merged PRs |

|--| ---- | -- |----------- | ---------- |

| 1 | 🥇 |  | [Odeyiany2](https://github.com/Odeyiany2) | 6 |

| 2 | 🥈 |  | [KeneNwogu](https://github.com/KeneNwogu) | 4 |

| 3 | 🥉 |  | [PetJs](https://github.com/PetJs) | 3 |

| 4 | 4 |  | [Nalito](https://github.com/Nalito) | 2 |

| 5 | 5 |  | [AlexanderSanin](https://github.com/AlexanderSanin) | 1 |

| 6 | 5 |  | [David3Emmanuel](https://github.com/David3Emmanuel) | 1 |

| 7 | 5 |  | [Firdous2307](https://github.com/Firdous2307) | 1 |

| 8 | 5 |  | [jatingarg36](https://github.com/jatingarg36) | 1 |

| 9 | 5 |  | [phyosandarwin](https://github.com/phyosandarwin) | 1 |

| 10 | 5 |  | [SujitSakore](https://github.com/SujitSakore) | 1 |

Thank you to all our fantastic contributors for their hard work and dedication!

Check out the full leaderboard [here](LEADERBOARD.md).

## **🥇 Prizes**

We have exciting prizes for our top contributors, including LinkedIn Premium vouchers and more. Your contributions could earn you valuable rewards and recognition within the community.

## **💬 Get in Touch**

If you have questions, need assistance, or want to discuss the projects, feel free to reach out to us:

- Join our community on [Whatsapp](WHATSAPP_COMMUNITIES.md).

- Connect with us on [Twitter](https://twitter.com/mlsanigeria).

## **📣 Help Us Spread the Word**

Help us make this initiative a success by sharing it with your network! Use the hashtag #Hacktoberfest to spread the word and encourage others to join.

## **Happy Hacking! 🎉**

Thank you for being part of the Hacktoberfest Open Source Challenge. Your contributions make a difference, and together, we can create amazing open-source solutions. Let's code, collaborate, and celebrate open source! 🚀