Yash-Kavaiya /
GenAI-Projects
This is a collection of various Generative AI projects and AI Agents exploring the realms of Images, code, text, and more
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24-mohamedyehia / repository
This is a smart procurement agents that can help you to find the best product for your company. and generate a report for you.
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This score does not audit code, security, maintainers, documentation quality, or suitability. Verify the repository and its current documentation before adoption.
This is a smart procurement agents that can help you to find the best product for your company. and generate a report for you.
1- Download and install MiniConda from here
2- Create a new environment using the following command:
$ conda create --name smart-procurement-agents python=3.11 -y
3- Activate the environment:
$ conda activate smart-procurement-agents
$ pip install -r requirements.txt
$ cp .env.example .env
Set your environment variables in the .env file. Like: OPEN_ROUTER_API_KEY value to use LLM Agentops_API_KEY value to monitor the agents TVLY_SEARCH_API_KEY value to search the web
You can get your Open Router API key from here. You can get your Agentops API key from here. You can get your TVLY_SEARCH_API_KEY from here.
$ python app.py
Open your browser and navigate to http://127.0.0.1:5000.
To stop the application, press Ctrl+C in your terminal.
This project is licensed under the MIT License. See the LICENSE file for details.
Selected from shared topics, language and repository description—not editorial ratings.
Yash-Kavaiya /
This is a collection of various Generative AI projects and AI Agents exploring the realms of Images, code, text, and more
69/100 healthmamgad /
This course uses a deliberately vulnerable banking application to demonstrate common security vulnerabilities, their impact, and how to fix them. The application is built with Flask (backend) and React (frontend).
68/100 healthmasfaatanveer /
This is a fully autonomous, self-operating computer automation system designed to automate tasks on Windows without any user interaction. It runs scheduled or trigger-based workflows using Python, system tools, and smart agents — ideal for repetitive tasks, bots, or self-executing pipelines.
jenasuraj /
This is a repository of collection of many agents build on top of Langchain , Langgraph, MCP and so many amazing tools
64/100 healthDemolinator /
this is a repo for students to use and start learning Agentic Ai. All the best!
60/100 healthabdulwasea89 /
This is the repo where you learn ai agents and ai llm application
62/100 health