Work

Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach

Year: 2024

Type: article

Abstract: The rapid growth of Pakistan's mobile resale market, based on frequent gadget upgrades, requires smartphone valuations to be precise. This study introduces a mobile resale calculator that uses machine learning algorithms to provide predictions. Our technology analyzes the key parameters, which include storage capacity, facial recognition, PTA clearance, battery health, screen quality, warranty coverage, packaging, and device condition, to give accurate forecasts. The proposed approach allows for the making of informed decisions and maximization of returns on investment. Interestingly, our experiment shows that the Random Forest algorithm yields an accuracy of 0.97, which justifies our methodology.

Source: Journal of Independent Studies and Research - Computing

DOI: 10.31645/jisrc.24.22.2.11

Authors: Umm-e-Laila Mehdi, Khalid Mahboob, Samar Raza Talpur, Khaliq Ahmed, Mohammad Khurram

Institutions: Institute of Business Management, Sukkur IBA University, Iqra University, University of Technology and Applied Sciences-Nizwa

Language: English

Topic: Data Mining and Machine Learning Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4405576420

FWCI:

Cites:

Cited by:

Related to: 10