The AI-Powered Home Finder is a groundbreaking solution revolutionizing the home search experience in Gurgaon. Utilizing advanced AI algorithms, it delivers personalized recommendations based on individual preferences and requirements. Users can input specific details such as price range and preferred amenities to receive tailored suggestions. The platform combines Facilities-based and Price-based recommendation engines, allowing users to customize weighting for optimal results. Additionally, the HomeLoan Assurance Advisor provides invaluable insights into loan eligibility, ensuring informed decision-making for property investments. Welcome to the future of home hunting with precision and convenience.

If you want to interact with the application by yourself then checkout this ➡️ Live Project Link

Prior to accessing the application via the provided link, please take note of the following instructions⚠️

• Change the application theme from dark to light by navigating to the settings option located at the top left corner upon launching the application.
• Optimize the screen zoom to 80% to ensure an optimal user experience.

Follow the below mentioned steps for setting up the Project Locally ⬇️

• Clone the Repository: Begin by cloning the project repository from GitHub to your local machine. Open your terminal and run the following command:

    git clone https://github.com/yuvraaj2002/AI_Projects.git
  

• Creationg VENV and Installing Dependencies: Make sure you have built a new virtual environment before installing the dependencies needed for this project. To do this, use the tools listed below, which are identified as

  conda create -p venv python=3.10 -y
  conda activate venv/
  pip install -r requirements.txt
  

• Start the Application: Once dependencies are installed, you can start the application and for starting the application we can use the command:

    streamlit run Streamlit/Home.py
  

• Access the Application: After the application has started successfully, open your web browser and navigate to the specified address (e.g., http://localhost:3000) to access the application locally.

• Explore the Features: Once the application is up and running, explore its features as per the project description. Input your preferences, receive personalized recommendations, and utilize the HomeLoan Assurance Advisor module to assess your loan eligibility.

Link to Word2vec Github repo : https://github.com/mmihaltz/word2vec-GoogleNews-vectors?tab=readme-ov-file