IGA

IGA is a typescript iOS/Android app powered by Groq. It is designed with User experience best practices in mind and can serve as a starting template for developing a full-stack ai-agent application. A key feature of any delightful application is speed. This app uses Groq, a Language Processing Unit framework for ultra-fast inference on language models.

We follow good data engineering principles when designing the pipelines that the agent relies on. For handling structured data, we use the Instructor framework.

Features

• UX-Design - IGA uses UX design best practices, ensuring a seamless and intuitive user experience.

• Full-Stack - The template comes with a full-stack implementation, including a robust backend and a responsive frontend.

• Reusable Template - IGA can be easily tailored to fit the needs of different applications, making it a highly reusable template.

App requirements

• Localisation
• Playing audio and video
• Access to user's contacts
• Track the movement of the user's finger on screen
• Track orientation and motion

Backend Architecture

ETL Pipeline

Front-End

Vercel

Contributing

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

References

1. Devlina Das. How Instacart Ads Modularized data pipelines with lakehouse architecture and spark. https://tech.instacart.com/how-instacart-ads-modularized-data-pipelines-with-lakehouse-architecture-and-spark-e9863e28488d
2. iPhone Application Development for Dummies. Neal Goldstein.
3. Shane Hender. Moving from DynamoDB to tiered storage with MySQL+S3 ]