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Winners of RevolutionUC 2024 Best Implementation of an LLM or Other Generative AI Model (CincyTech) and Best Product Market Fit (Center for Entrepreneurship)

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BardTales RevolutionUC 2024

✨ Winner of RevolutionUC 2024 Best Implementation of an LLM or Other Generative AI Model (CincyTech) and Best Product Market Fit (Center for Entrepreneurship) ✨

Setup

Deploy the webapp on your local machine using:

conda env create -f envinronment.yml
python3 app.py

The server should be up and running on localhost address 127.0.0.1:5000. Open this url in a browser to access the web application.

Roles

Cat Luong: Spearheaded AI-powered backend architectural design. Performed prompt engineering on Gemini Pro. Integrated Google Gemini Pro, Meta Audiocraft, and AWS Polly into a pipeline that accepts story text and returns an audiobook.

Sparsh Priyadarshi: Scoping study for generative AI based audio synthesis and AWS Polly. Defined Product-Market fit for the MVP. Integrated UI and audiobook generation pipeline, contributed to business logic for audio processing, design and documentation.

Vivek Mehra: Designed & developed the UI frontend & backend. Contributed to application backend & audio pipeline integration debugging, contributed to system architecture design discussions.

Ziddi Mohammad: Integrated Tembo's PostgreSQL into the system and developed a couple of APIs to store and retrieve generated audios data based on userIds and contributed to system design.

Citation

@inproceedings{copet2023simple, title={Simple and Controllable Music Generation}, author={Jade Copet and Felix Kreuk and Itai Gat and Tal Remez and David Kant and Gabriel Synnaeve and Yossi Adi and Alexandre Défossez}, booktitle={Thirty-seventh Conference on Neural Information Processing Systems}, year={2023}, }

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Winners of RevolutionUC 2024 Best Implementation of an LLM or Other Generative AI Model (CincyTech) and Best Product Market Fit (Center for Entrepreneurship)

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  • Python 77.9%
  • HTML 12.7%
  • JavaScript 4.7%
  • CSS 4.7%