The week's pick
Reseach Article
South Indian Recipe Recommendation from Ingredient Image
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 38 |
| Year of Publication: 2020 |
| Authors: Praguna Manvi, Vishnu M. P., Nitish Vivian Maximus, Parva Chauhan, Umadevi V., Muzammil Hussain |
10.5120/ijca2020920488
|
Praguna Manvi, Vishnu M. P., Nitish Vivian Maximus, Parva Chauhan, Umadevi V., Muzammil Hussain . South Indian Recipe Recommendation from Ingredient Image. International Journal of Computer Applications. 176, 38 ( Jul 2020), 42-45. DOI=10.5120/ijca2020920488
Abstract
Applications involving ingredient recognition are very limited and most do not work in less ideal conditions like the ones faced in a typical kitchen. The main reason for this is the dataset that the existing models are based on. These datasets do not account for real-world factors like noise, blur, etc. in the input image since they are trained on images obtained from controlled and nearly idealistic environments. For these reasons, a new dataset was created, consisting of real-world images which represent the scenarios users are most likely to face during daily use. A simple and robust system was developed that aims to address this issue. A multi-label classification model was built to identify multiple ingredients present in a single image. A personalized recommendation system that recommends a list of South Indian recipes to users based on the ingredients identified was also developed.
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