Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach
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...
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Shaheed Zulfikar Ali Bhutto Institute of Science and Technology
2024-12-01
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Series: | JISR on Computing |
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Online Access: | http://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/241 |
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author | Umm-e-Laila Mehdi Khalid Mahboob Samar Raza Talpur Khaliq Ahmed Mohammad Khurram |
author_facet | Umm-e-Laila Mehdi Khalid Mahboob Samar Raza Talpur Khaliq Ahmed Mohammad Khurram |
author_sort | Umm-e-Laila Mehdi |
collection | DOAJ |
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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.
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format | Article |
id | doaj-art-48eada4da498499cb85227f24a01ded2 |
institution | Kabale University |
issn | 2412-0448 1998-4154 |
language | English |
publishDate | 2024-12-01 |
publisher | Shaheed Zulfikar Ali Bhutto Institute of Science and Technology |
record_format | Article |
series | JISR on Computing |
spelling | doaj-art-48eada4da498499cb85227f24a01ded22025-02-11T10:35:12ZengShaheed Zulfikar Ali Bhutto Institute of Science and TechnologyJISR on Computing2412-04481998-41542024-12-0122210.31645/JISRC.24.22.2.11Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach Umm-e-Laila Mehdi0Khalid Mahboob1Samar Raza Talpur2Khaliq Ahmed3Mohammad Khurram4Institute of Business Management (IOBM), Karachi, PakistanInstitute of Business Management (IOBM), Karachi, PakistanSukkur IBA University Sukkur, PakistanIqra University Airport Campus, Karachi, PakistanUniversity of Technology and Applied Sciences, Nizwa, Sultanate of Oman 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. http://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/241Machine LearningMobile Price PredictionRandom ForestSupport Vector MachineGradient Boosting Regression |
spellingShingle | Umm-e-Laila Mehdi Khalid Mahboob Samar Raza Talpur Khaliq Ahmed Mohammad Khurram Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach JISR on Computing Machine Learning Mobile Price Prediction Random Forest Support Vector Machine Gradient Boosting Regression |
title | Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach |
title_full | Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach |
title_fullStr | Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach |
title_full_unstemmed | Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach |
title_short | Machine Learning-Based Mobile Device Resale Price Estimator: A Predictive Analytics Approach |
title_sort | machine learning based mobile device resale price estimator a predictive analytics approach |
topic | Machine Learning Mobile Price Prediction Random Forest Support Vector Machine Gradient Boosting Regression |
url | http://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/241 |
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