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abdulwasea89 / repository
This is the repo where you learn ai agents and ai llm application
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A curated collection of Awesome LLM apps built with RAG, AI Agents, Multi-agent Teams, MCP, Voice Agents, and more. This repository features LLM apps that use models from OpenAI, Anthropic, Google, and open-source models like DeepSeek, Qwen or Llama that you can run locally on your computer.
Selected from shared topics, language and repository description—not editorial ratings.
myselfshravan /
This project is a meal planning app that generates personalized meal plans based on a user's caloric needs and Personal Information. It utilizes natural language processing to generate creative meal ideas using ingredients selected by the greedy algorithm.
60/100 healthFingolfin7 /
Inspired by GothamChess's AI chess videos - this is an LLM harness for chess. Fixes the real problems that were causing the models to stumble; proper board state context and move validation. Pit GPT, Gemini, Claude and others head-to-head with live reasoning streams, knockout tournaments, and PGN export.
67/100 healthClone the repository
git clone https://github.com/abdulwasea89/awesome_ai_agents_and_llm_apps.git
Navigate to the desired project directory
cd awesome_ai_agents_and_llm_apps/starter_ai_agents/ai_travel_agent
Install the required dependencies
pip install -r requirements.txt
Follow the project-specific instructions in each project's README.md file to set up and run the app.
furkankyildirim /
This is a FastAPI service that provides a RESTful API for the Anthropic Claude AI model using anthropic-sdk-python.
48/100 healthShubhamraut01 /
This project is a simple chat application built using Streamlit that interfaces with Amazon Bedrock's Anthropic Claude model to generate responses to user input. The application allows users to type a message and receive a generated response using the power of AI.
43/100 healthmobashshirhasan /
This project is a Python-based application that allows you to upload a directory of PDF documents, create embeddings for their content using OpenAI, store them in a FAISS vector database, and query the documents using Anthropic's Claude AI model.
35/100 healthSanjidHossain /
This project is a web data extractor that uses the Anthropic API to extract specified schemas from a given website. The application is built with Python and Streamlit.
44/100 health