The spectrum of housing options in India is incredibly diverse, spanning from the opulent palaces once inhabited by maharajas of yore, to the contemporary high-rise apartment complexes in bustling metropolitan areas, and even to the humble abodes in remote villages, consisting of modest huts. This wide-ranging tapestry of residential choices reflects the significant expansion witnessed in India's housing sector, which has paralleled the upward trajectory of income levels in the country. This Machine Learning model predicts a housing or rent price in different parts of Indian cities using the Random Forest Model based on features like BHK, Size , Furnishing Status and Bathroom. Data taken from Kaggle, link - https://www.kaggle.com/datasets/iamsouravbanerjee/house-rent-prediction-dataset?select=House_Rent_Dataset.csv