Scrap link - A Conceptual Approach of Smart Waste Management with Integrated Web Base System
Abstract
In the modern era, efficient and sustainable waste management has never been more imperative than it is now.The project proposed presents a novel web application that serves as a platform for matching people or organizations with scrap materials to available scrap dealers in the vicinity. Through geolocation technology, the site reduces transportation expenses and the carbon footprint by facilitating transactions within the vicinity. ScrapLink provides an easy-to-use interface, secure payment options and live communication to provide transparent and hasslefree transactions. By providing a platform to bridge scrap material sellers and buyers, the system hopes to minimize waste, encourage resource efficiency and develop a circular economy.The core features provided are user authentication, a strong rating and review system, real-time alert options and secure payment interfaces. Buyers and sellers can make contact via a built-in chatting system to establish terms and finalize deals
Keywords:
Scrap Link, recycling, waste management, ge- olocation, circular economy, market trends, sustainable solutionsPublished
Issue
Section
License
Copyright (c) 2025 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Sandra Raju, Dr S Sruthy, A Reliable Method for Detecting Brain Tumors in Magnetic Resonance Images Utilizing EfficientNet , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Remya K R, Sudhama Swaminathan R, Vishnu Sudheer, Vishnukant PK, Nevin Nelson M, Automated Voice-Controlled PowerPoint Presentation Generation System from Voice/Text Prompts , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Elsa George , Alphonsa Francis, Anna Job, Ann Maria James, Shiney Thomas, YOLOv8-Driven Approach for Wildlife Detection and Recognition , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Rintu Jose, Study on Separable Reversible Data Hiding in Encrypted Images , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Anishamol Abraham, Niya Joseph, State-of-the-Art Techniques for Image Forgery Detection: A Review , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Dr. Indu John, A Adithya, Alwin Rajan, Amal Biso George, Farhaan M Hussain, HEALTH GUARD-A Multiple Disease Prediction Model Based on Machine learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Richy Sara George, Neha Ann Biju, Rhea Maria James, Dr Sinciya P.O, Reema Elsa Shaji, Tatique:User-friendly catering website for BS Foods , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Jyothis Joseph, Angeetha Raju, Aparna Santhosh, Ashitha Jenish, K S Minu, Survey on Fake Profile Detection in Social Media , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Abid Muhammad, Alan Abdul Gafar, Abin Melvin, Bibin Varghese, A Two-Stage Deep Learning Framework for Skin Lesion Detection and Classification Using ResNet18 and EfficientNet-B4 , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Jane George, A study on Multiple-Instance GPU, Evolution, Architecture and Applications , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.
