Building a Gemini Realtime Learning Assistant with Long-Term Memory

This project demonstrates how to build a personalized, Gemini-powered tutoring assistant with long-term memory. By leveraging the Gemini Multimodal Live API, mem0, and advanced audio transcription techniques, we create an AI tutor that remembers student progress, adapts to individual learning styles, and provides a truly engaging and effective learning experience. Find this playlist to see all the Gemini development tutorials: https://youtube.com/playlist?list=PLUdH0OYvz4vHswcObE0jkMBQ6cu9JRbwI&si=sQHN0enPgZYDEqNS TIME STAMPS: 00:00 Intro 01:49 Why Basic RAG is not good 03:13 Mem0 Introduction 04:55 Live App Demo 09:28 System Architecture 13:15 Code Walkthrough USEFUL LINKS: Source Code (Python server) - https://github.com/yeyu2/Youtube_demos/tree/main/gemini20-longmem Article Version - https://open.substack.com/pub/yeyu/p/building-a-gemini-realtime-learning?r=21aesy&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true MY CONNECT: Buy me a coffee - https://ko-fi.com/yeyuh Business Inquiries - [email protected] X: https://x.com/Yeyu2HUANG Discord - http://discord.gg/KPTCE4CEmp Email Subscription - https://yeyu.substack.com/ Development service - https://ko-fi.com/yeyuh/commissions