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The fact that the problem of food waste has become widespread all over the world is impossible to deny, having harmful environment and fiscal repercussions. A significant part of this waste is made up of foods that are not the best or not perfect visually and can be ingested without posing any harm to the body, but are often shunned. To solve this, suboptimal food marketplaces can be created with an aim to reduce wastage and redistribute the commodities. To effectively browse and search the merchandise, the proposed solution here is a learning-based solution. We have used Convolutional Neural Networks (CNN) that enable picture recognition for the enhancement of the searching for the products. So, through this system, we enhance user experience and also improve access to suboptimal foods.

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A Deep Learning Approach to Product Search Using CNN for Image Recognition in a Marketplace for Suboptimal Foods

  • 会议论文

  • 发表日期：

    2025年

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  • K. Ashok,
  • B. Rajalakshmi,
  • Niharikaa Bhattacharya,
  • Neha Mahale,
  • Roshani Ravish Borkar,
  • B. V. Santhosh Krishna

摘要

The fact that the problem of food waste has become widespread all over the world is impossible to deny, having harmful environment and fiscal repercussions. A significant part of this waste is made up of foods that are not the best or not perfect visually and can be ingested without posing any harm to the body, but are often shunned. To solve this, suboptimal food marketplaces can be created with an aim to reduce wastage and redistribute the commodities. To effectively browse and search the merchandise, the proposed solution here is a learning-based solution. We have used Convolutional Neural Networks (CNN) that enable picture recognition for the enhancement of the searching for the products. So, through this system, we enhance user experience and also improve access to suboptimal foods.