1. Sriya-AI can help solve problems in the real estate industry related to optimizing operations, improving customer experience, and increasing revenue.
  2. The dataset for real estate has 46,622 records with 1 categorical feature and 19 numerical features.
  3. Sriya-AI models were created using regression algorithms like Lasso, Random forest, XGBoost, Multilayer Perceptron, and Recurrent Neural Network.
  4. The models were able to predict the rent of the property with an average accuracy between 83% – 85%.