Unsplash FindAWall: Secure, Scalable and Responsive Image-Search Platform

Paper Details
Manuscript ID: 2126-0509-7955
Vol.: 2 Issue: 5 Pages: 104-116 May - 2026 Subject: Computer Science Language: English
ISSN: 3068-1995 Online ISSN: 3068-109X DOI: https://doi.org/10.64823/ijter.2605007
Abstract

Unsplash FindAWall is a secure and performance-optimized full-stack web application for image retrieval using the Unsplash API. The system introduces a backend proxy architecture to protect API credentials and ensure secure communication. Performance is enhanced through lazy loading, LRU-based caching, and responsive image rendering, significantly reducing load time and API usage. A rate-limit-aware backend mechanism ensures reliable API governance. The architecture is designed for future integration of AI-based semantic similarity search, providing a scalable, research-oriented foundation for intelligent and secure image retrieval systems.

Keywords
Image Retrieval Unsplash API Secure API Proxy Lazy Loading LRU Caching Rate-Limit Governance Web Performance Optimization Full-Stack Development Semantic Search Scalable Web Architecture
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Cite this Article

Sougat Paul (2026). Unsplash FindAWall: Secure, Scalable and Responsive Image-Search Platform. International Journal of Technology & Emerging Research (IJTER), 2(5), 104-116. https://doi.org/10.64823/ijter.2605007

BibTeX
@article{ijter2026212605097955,
  author = {Sougat Paul},
  title = {Unsplash FindAWall: Secure, Scalable and Responsive Image-Search Platform},
  journal = {International Journal of Technology &  Emerging Research },
  year = {2026},
  volume = {2},
  number = {5},
  pages = {104-116},
  doi =  {10.64823/ijter.2605007},
  issn = {3068-109X},
  url = {https://www.ijter.org/article/212605097955/unsplash-findawall-secure-scalable-and-responsive-image-search-platform},
  abstract = {Unsplash FindAWall is a secure and performance-optimized full-stack web application for image retrieval using the Unsplash API. The system introduces a backend proxy architecture to protect API credentials and ensure secure communication. Performance is enhanced through lazy loading, LRU-based caching, and responsive image rendering, significantly reducing load time and API usage. A rate-limit-aware backend mechanism ensures reliable API governance. The architecture is designed for future integration of AI-based semantic similarity search, providing a scalable, research-oriented foundation for intelligent and secure image retrieval systems.},
  keywords = {Image Retrieval, Unsplash API, Secure API Proxy, Lazy Loading, LRU Caching, Rate-Limit Governance, Web Performance Optimization, Full-Stack Development, Semantic Search, Scalable Web Architecture},
  month = {May},
}
Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.