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In this Project, we will create a simple LangChain RAG Colab Notebook that uses the Google Gemini Flash model to answer user questions from the document provided. This example below is provided to help you get started assumes you have access to the Gemini API, Pinecone and a basic Python environment.
MediQuery is an AI-driven web application that helps users analyze and gain insights from medical reports. Leveraging state-of-the-art AI technologies such as Google Gemini, Pinecone, and a modern web stack with Next.js and Shadcn/ui, it allows users to upload PDFs or images of their medical reports and get precise, personalized insights.
An AI-powered code review tool leveraging Google's Gemini API to provide instant code analysis, bug detection, and best practice suggestions with syntax highlighting.
Your AI-driven dietary detection companion that scans ingredients through text, URLs, or photos to instantly identify potential allergens and dietary restrictions, ensuring safer food choices.
In this Project, we will create a simple LangChain Colab Notebook that uses the Google Gemini Flash model to answer user calculation questions. This example below is provided to help you get started assumes you have access to the Gemini API and a basic Python environment.
MedBuddy is a GENAI-based platform for symptom analysis, doctor matching, and appointment scheduling. It uses FastAPI, React, and MongoDB, integrated with Google Gemini API for intelligent healthcare support.
Simple Svelte project that uses Google Vertex AI to do a simple prompt and display the results. Hosted serverlessly on GCP using Cloud Build and Cloud Run.
From a table file containing clinic's name and websites, a python module can output relevant results regarding existing psychologist names, types, pricing, ... using LLM.