Automating Real Estate Investment Research with CrewAI

This project dives into the world of building an AI-powered investment property bot using Crew AI, a platform designed for creating custom AI applications. But we're taking it a step further by utilizing Ollama, a powerful tool within Crew AI.

Here's what you can expect to learn:

• The process of setting up and leveraging Crew AI, specifically focusing on Ollama, to construct your investment property bot.
• Techniques for harnessing Ollama's capabilities to automate real estate property searches and generate insightful reports.
• A demonstration of the bot's functionalities, potentially showcasing how it identifies promising properties and analyzes relevant data using Ollama's features.

Important Note: Building and running AI applications can involve significant computational resources. Consider utilizing a cloud-based platform with GPU acceleration for optimal performance.

By following this project, you'll gain the knowledge to leverage Crew AI and Ollama to streamline your real estate investment research and potentially make informed investment decisions.

Startup

0. Install Ollama

1. Download openhermes ollama pull openhermes
2. Create a virtual environment conda create -n crew python=3.11
3. Activate it conda activate crew
4. Install initial deps pip install 'crewai[tools]'
5. Update the SERPER_API_KEY value with an API key from Serper

6. Run the flow using python main.py

# Other References

-CrewAI:documentation for the framework.

Who, When, Why?

👨🏾‍💻 Author: Usama Buttar
📅 Version: 1.x
📜 License: This project is licensed under the MIT License