Implement an AI-powered system to match food donors with recipients.

[sanskriti-lal]

Is your feature request related to a problem? Please describe.
Many food donation systems struggle with inefficient matching between food donors and recipients, leading to food waste and missed opportunities to address hunger effectively.

Describe the solution you'd like
I would like an AI-powered system implemented in PETARI to analyze donation requests and available food, ensuring optimal matching based on factors like location, quantity, and type of food. This would minimize waste and maximize efficiency in food redistribution.

Describe alternatives you've considered
An alternative approach could involve manual matching by volunteers, but this would likely be less efficient and more prone to errors than an AI-powered system.

Additional context
The AI-Powered Matching System aims to solve the problem of inefficient matching in food donation systems.

I'm a GSSoC'24 contributor with a a strong background in artificial intelligence and machine learning along with experience in implementing AI algorithms, analyzing data and building scalable solutions and I want to work on this feature. So can you please assign this work to me @Sahil1786

[github-actions]

Congratulations, @sanskriti-lal! 🎉 Thank you for creating your issue. Your contribution is greatly appreciated and we look forward to working with you to resolve the issue. Keep up the great work!

We will promptly review your changes and offer feedback. Keep up the excellent work! Kindly remember to check our contributing guidelines

[gantasrilaitha]

Just an idea-
Can we implement it using Openai_threads and function calling?...we can have different runners for each function, following a microservice architecture.

[Sahil1786]

Yea you can