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The AI Food Weather-Based Recommendation System provides personalized food and restaurant suggestions using AI. It uses GenAI and AI techniques like TF-IDF Vectorization, Cosine Similarity, and FuzzyWuzzy for tailored recommendations.
A speech-to-text chat agent with multiple tools. Utilizes Gemini, OpenAI, Wolfram|Alpha, openweathermap, and a few other APIs. Can manipulate files and web browsers. Currently working on implementing long-term memory via a neo4j graph database and allowing the user to feed additional data (knowledge) to that db via an obsidian knowledge graph.
This project is a web application that utilizes Google GenerativeAI to predict content based on a user's question and an optional uploaded file. Users can submit a question and upload a text file (.txt), CSV file (.csv), PDF document (.pdf), or docx document (.docx) for the model to consider when generating content.
DebugVerse is a full-stack AI-based code debugger that detects, analyzes, and suggests fixes for code errors in real-time using intelligent algorithms.
Blender plugin that integrates with Google Gemini for both text input. Please note that you will need to install the required Python libraries in Blender's Python environment for the addon to work correctly. Instructions on how to do this for Windows, Mac, and Linux in the readme.md.
Youtube Video 🎥 Transcript to Detailed Notes 📋 Converter using Google Gemini Pro. This web app efficiently works with videos having any language Transcript, then translates to English Transcript and Generates notes 🚀.
A simple and interactive Gemini AI chatbot built with Python and Google Generative AI in Google Colab. Users can input prompts and get human-like responses using the latest Gemini models (anyone u want). Ideal for learning how to integrate Gemini with Python.
HealthAnalyzer is a Streamlit app that analyzes food images to provide calorie counts and nutritional insights, along with the latest health updates. Stay informed and healthy with every bite!
This project provides a streamlined interface to access multiple large language model APIs, including OpenAI, Anthropic, Google Gemini, and DeepSeek. It demonstrates how to structure prompts, handle responses—including streaming—and simulate conversations between different models to explore their unique behaviors