A Smart Shopping Cart for Automated Billing and Personalized Recommendations

Authors

  • Suman Pokhrel Department of Computer and Electronics Engineering, Himalaya College of Engineering, Chyasal, Lalitpur Nepal
  • Gagan Pradhan Department of Computer and Electronics Engineering, Himalaya College of Engineering, Chyasal, Lalitpur Nepal
  • Manoj Khati Department of Computer and Electronics Engineering, Himalaya College of Engineering, Chyasal, Lalitpur Nepal
  • Anamika Rai Department of Computer and Electronics Engineering, Himalaya College of Engineering, Chyasal, Lalitpur Nepal
  • Shiva Raj Luitel Department of Computer and Electronics Engineering, Himalaya College of Engineering, Chyasal, Lalitpur Nepal

DOI:

https://doi.org/10.3126/injet.v2i2.78598

Keywords:

Content-based Recommendation, Firebase, Flutter, QR code integration, Smart shopping Cart

Abstract

This study presents a Smart Shopping Cart system integrating QR code technology with a Flutter-based mobile application to enhance the traditional retail experience in Nepal. The system employs QR codes for cart identification and product tracking, synchronized with a Firebase database in real time. A tablet-mounted application provides instant cart updates and personalized product recommendations using an item-based content filtering algorithm. By supporting online payments, it reduces checkout times and manual interventions. Testing over 50 cycles with 100 products and 20 users achieved an 85% recommendation accuracy and a 640.8 ms registration time, confirming efficiency. Tailored for Nepal’s retail challenges, this scalable solution bridges physical and digital shopping, improving customer convenience and operational performance.

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Published

2025-05-19

How to Cite

Pokhrel, S., Pradhan, G., Khati, M., Rai, A., & Luitel, S. R. (2025). A Smart Shopping Cart for Automated Billing and Personalized Recommendations. International Journal on Engineering Technology, 2(2), 104–113. https://doi.org/10.3126/injet.v2i2.78598

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Section

Articles