Abdullah Usman

Academic

Career

Verbatim text

EBazar
EBazar is a cutting-edge e-commerce platform designed for both buying and selling new and used products. The platform caters to two types of users: customers and vendors. Customers are able to purchase products, both new and used, from verified vendors, and can also auction their own products for sale or engage in unverified sales. Additionally, customers can leverage the platform's reverse auction feature to find the best price for a desired product among several sellers. Vendors, on the other hand, are able to sell their own products and can also auction them on the platform. All vendors on the platform are verified, ensuring a secure and reliable transaction process.
To provide users with personalized and relevant product recommendations, the platform includes an AI-generated recommendation system that uses popularity-based, content-based, and collaborative filtering methods. Key factors used to generate these recommendations include product ratings, geographic location of customers, and best-selling products of the month. EBazar also includes several advanced features, such as auctioning and reverse auctioning, to provide a comprehensive and robust buying and selling experience for users. With these features and more, EBazar is the ideal platform for individuals looking to buy or sell new and used products in a safe and efficient manner.

Supervisor: Dr. Mehreen Alam
Co-Supervisor: Ms. Humera Sabir
Group Members: Abdullah Usman (i19-0425), Rohan Ishtiaq (i19-0497), Usama Khatab (i19-0493)

Objective
A Smart eCommerce marketplace mobile application powered by AI for new/used items with an auctioning system and a focus on reliability

Technology Used:
Stripe, Firebase, React Native, Nodejs, Tensorflow, Google cloud, Expo, Python

Supervisor Name:
Dr. Mehreen Alam

Group Members:
Usama Khatab (i19 - 0497)
Abdullah Usman (i19 - 0425)
Ahmed Rohan (i19 - 0497)

Tools & Technologies
stripe, Firebase, React Native, node, TensorFlow, GO

AI enrichment