Gemma3:270m is Google's smallest LLM yet and it can run on as low as 500 MB of RAM (Google's words not mine).

This beginner session shows how to build local AI agents using Gemma3:270m and Python

We will use Python to build an agent that scraps job requirements from different websites (For the demo I will use a personal API to store the data and retrieve that gives data that has been scrapped) , combines scattered information about me or anyone who would want us to use their documents , customize and personalise cover letters and resumes for each and every job.

The event will wrap up with the design considerations around the demo app and will center around :
1. The need for privacy for personal and organisations and why Gemma3:270m helps address that
2. Prompting techniques to ensure that the output is as desired
3. Use of guard rails and the other nitty gritty details to churn out better output