Rentway

A web ecommerce app to rent old items and predict their prices using the Decision Tree Model

Built by :

1. Chinmay Dorge - LCS2020022
2. Dhruv Rajak - LCS2020062
3. Arush Panwar - LCS2020032
4. Sahil Rathi - LCS2020018

Project Report

Features

1. Front-end: Used Tailwind CSS to improve usability and for a better design
2. Back-end: Developed a robust and scalable eCommerce website from scratch using Next.js, and TypeScript, enabling users to rent and buy items at competitive prices. Utilized Supabase for seamless CRUD operations and authentication, ensuring data security, reliability, and accessibility for both sellers and buyers.
3. Model used: Leveraged machine learning model based on the decision tree algorithm to predict the price of any item, enhancing the accuracy and efficiency of the platform.

Upload new Item

Supabase was used to develop a robust and secure database that could store user data and transaction information securely.

Predict the Price to rent for an item

The Decision Tree Model is being used in RentWay to determine the appropriate rental price for a given clothing item. The model takes into account several factors, such as the brand, type of clothing and other factors to give a prediction of the rental price of the item. The model takes 12 input parameters and has made a decision tree using the same

1. Example - 1

2. Example - 2