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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Shaheed Zulfikar Ali Bhutto Institute of Science and Technology
2024-12-01
|
| Series: | JISR on Computing |
| Subjects: | |
| Online Access: | http://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/241 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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.
|
|---|---|
| ISSN: | 2412-0448 1998-4154 |