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Volume 11, Issue 10 (October 2025)

Retro Mart(ai-driven Platform For Affordable Smartphones)

Impact Factor
7.883
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Volume 12 Issue 07

July 2026

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Author(s)

Mrs.S.Sangeetha Bharathi V Hemavathy K Joelin Rani J Varshini B

Abstract

In An Era Where Sustainability And Affordability Are Becoming Essential Consumer Priorities, Refurbished Smartphones Offer An Eco-friendly And Cost-effective Alternative To Traditional Retail Purchases. However, Most Existing Resale Platforms Lack Transparency, Intelligent Guidance, And Personalized Support, Often Leaving Customers Uncertain About Product Authenticity And Suitability. The Retro Mart – AI-Powered Refurbished Mobile Marketplace Addresses These Challenges By Providing A Secure, Data-driven, And User-centric Platform For Buying And Selling Branded Refurbished Smartphones. Built On The MERN (MongoDB, Express.js, React.js, Node.js) Stack, The System Ensures Seamless Performance, Real-time Updates, And Scalable Management Of Product Listings And User Interactions. Integrated Artificial Intelligence (AI) Enhances The Customer Experience Through A Smart Recommendation Engine That Suggests Mobiles Based On Budget, Brand Preference, And Usage Needs. An AI-powered Chatbot Offers 24/7 Multilingual Customer Support, Addressing Queries Related To Specifications, Warranty, Delivery, And Troubleshooting, Thereby Reducing Human Dependency And Support Delays. To Build Trust And Transparency, The Platform Categorizes Phones Based On Condition Grading, Warranty Information, And Performance Certification Through Seller Verification And Diagnostic Reports. Users Can Compare Multiple Devices Side-by-side Using An AI-based Mobile Comparison System, Helping Them Make Informed Decisions Effortlessly. With Secure Authentication, Encrypted Transactions, And Integrated Payment Support, Retro Mart Ensures Reliability And Safety Throughout The Buying Journey. By Promoting Accessibility, Sustainability, And Intelligent Assistance, The Platform Redefines Refurbished Mobile Shopping As A Smart, Trustworthy, And Future-ready Digital Marketplace


Keywords

PCB Defect Detection YOLOv8 Deep Learning Real-Time Inspection Computer Vision Flask Web Application Automated Optical Inspection (AOI) Surface Defect Classification Industrial Automation Smart Manufacturing.

Paper ID

IJSARTV11I10104104

Publication Date

October 13, 2025

Research Area

Artificial Intelligence

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