Conversing with an E-commerce Store Database

Summary

Transform how businesses interact with data by building a system where non-tech savvy users can query an e-commerce database using simple, everyday language. This challenge is all about bridging the gap between complex data management and intuitive user experience.

Requirements

1. Implement an AI agent to convert natural language queries into SQL.

   • Develop an intelligent system that understands and translates natural language queries into SQL commands for efficient interaction with the e-commerce database.

2. Design a user-friendly chat interface.

   • Create an intuitive and user-friendly chat interface that allows users to interact seamlessly with the AI agent. Consider ease of use and accessibility for a wide range of users.

3. Provide a demo e-commerce database.

   • Set up a demonstration e-commerce database that showcases the functionality of the system. Populate the database with sample data representative of an e-commerce store.

4. Include a tutorial or help feature for new users to learn the system.

   • Develop a tutorial or help feature within the system to guide new users on how to use the chat interface, formulate queries, and interpret results.

Submission Guidelines

• Figma (Optional): Provide a link to your Figma design/prototype for your project.
• GitHub Repository: Share the link to your GitHub repository containing all the relevant source code and project files.
• Deployed Link: Host your project on platforms like Netlify or Heroku. If it's a mobile app, provide a public link to the APK on Google Drive.
• Walkthrough/Presentation: Create a concise 2 to 5-minute maximum screen recording. Walk through key features, functionalities, and any unique aspects of your project. Clearly articulate how users can interact with and benefit from your solution.

Access Free OpenAI API Keys!

Limited OpenAI API keys are available at no cost for your hackathon project. Reach out here with your use case and get keys for Speech-to-Text, Chat Completions, Embeddings, and more. Keys will be deleted post-hackathon.

Explore Models

You have the freedom to explore a wide range of models for your project. Not limited to the following options:

• OpenAI API - Introduction
• Mistral 7B - Introduction
• SeamlessM4T - Introduction

Additional Resources

Take your project further with these valuable resources:

• Youtube - Voice Cloning In Multiple Languages - Open Source
• Youtube - Master Deep Voice Cloning in Minutes
• GitHub - 🔊 Text-Prompted Generative Audio Model
• Notion - 🐶 Suno's Speaker Library
• CoLab - SeamlessM4T Notebook
• ElevenLabs - Voice Cloning: Clone Your Voice in Minutes
• GitHub - 🐸 A deep learning toolkit for Text-to-Speech