This project uses an ANN model to predict house prices based on features like location, age, and rooms. It includes data preprocessing, model training, and deployment via a Streamlit app. Users can input data and get instant house price predictions, aiding real estate analysis and decision-making.

The findings in the present study will be a breakthrough for the estimation of CPC concentration from S. platensis solely based on the information provided in the image without the need to perform a prior extraction process and identification of CPC concentration using analytical equipment.