What it does Our Algorithm works on the machine learning python code which predicts the rent range of any property with a mean_absolute_error of approx Rs. 4,000.
How I built it:- we first used Linear regression method to predict the rent range but that method wasn't good enough cause error was a bit high, So we had to move on some alternate method and that we did by using ANN method using MLPRegressor which does Multi Layer Polynomial Regression to reduce the error. Further more we used RandomForestRegressor to improve our accuracy.
Challenges I ran into We are beginners in the field of ML so basically we had to face difficulties at each step, from training the external file provided by the hackathon team to Interfacing the data on a web page which we were unable to do at last cause we did knew how to make a web page but we didn't knew how to use a python code with html of which when we researched found out a way using Python CGI but it didn't came out to be possible for us as we didn't had much time so we only made a web page hosted online (link is attached) and concentrated again on our project.
Accomplishments that I'm proud of I had an astonishing experience in RTU hackathon although the accommodations weren't properly provided but that was covered by the positiveness of the event.
What I learned How to tackle new problems if provided at the last moment, and to learn something new from our fellow teams from other colleges from their work.
What's next for NO BROKER As i stated earlier that we were unable to use the python back-end in the web page so we are planning to complete our left project in some days. Which will include complete algorithm with the online interface so as to provide more and more benifit to the buyer and the seller.
Log in or sign up for Devpost to join the conversation.