Googles NotebookLM but local
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Updated
May 8, 2026 - Python
Googles NotebookLM but local
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
Learn AI, ML, and NLP with interactive Jupyter Notebook tutorials.
Use this code to access pipeline to Gemini from inside notebookLM
A guide to writing effective AI prompts for better results
Study Smarter – AI-Powered Notes App Boost your productivity and understanding with AI-Powered Notes. Take better notes, get instant summaries, and chat with your AI assistant to dive deeper into any topic — all in one streamlined app.
An web-based application using Next/React that enables users to upload and interact with PDF documents through a chat interface. The system should efficiently extract relevant information while minimizing token usage.
Jupyter Notebooks for image generation and multimodal prompts using the Gemini API (Google AI studio)
AI-powered document intelligence platform built with Spring Boot. Features include document summarization, Q&A, content generation, and multi-source synthesis with strong citation support.
AI-powered research paper analyzer built with Python and Gemini API. Upload any research paper PDF and instantly get a structured summary, peer review, key terms, future research directions, and a quick summary, all rendered in a clean Gradio web interface.
Gemini API notebook experiments for AI application learning.
A simple chatbot using Gemini API and Jupyter Notebook.
JavaScript example for Gemini API using Jupyter Notebook and Deno
A Python-based Jupyter Notebook project demonstrating Google Gemini API capabilities including text generation, image understanding, image generation, and document analysis.
Unofficial API Gateway
An AI-powered educational study companion. Upload PDFs, Notebooks, or Slides, and interact with your notes through an explainable, contextual AI tutor powered by Google Gemini.
AI-powered note-structuring tool that converts raw text or topics into clean, organized Markdown notebooks using Gemini + Hugging Face + FastAPI and a modern Next.js frontend.
This notebook provides a hands-on guide to building AI-powered applications with LangChain and Google Gemini. It covers initializing chat models, designing dynamic prompt templates, and orchestrating execution chains to automate natural language tasks.
NoteFlow is a modern note-taking web application powered by Next.js, Clerk authentication, Drizzle ORM, and AI integration (Google Gemini). It enables users to create, edit, and manage notebooks, ask AI questions, and organize notes efficiently.
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