Product Recognition for Shopping using Artificial Intelligence and Machine Learning with Mobile App
Abstract & Details
Research Area
Computer Science
Keywords
Object Detection
Shopping
Ecommerce
Python
Face Detection
ADA Boost
Haar Features
Cross Platform
Mobile Application
Abstract
The purpose of this project was to create a way to buy products that we see online worn buy models or seen in some add on social media platforms like instagram, facebook and twitter etc. There are times when we get this urge to buy a product worn by some movie actor and we end up wasting valuable time in search of that product online. Sometimes we are not able to locate those products even after rigorous hours of surfing the Internet, to minimize this hustle this project was designed. We are introducing a way to buy products online in a very different approach Using the Haar Cascades the logo of the product is detected then ADA boost is used to optimize the classifiers for better web scraping and accurate results. In addition to this there is a special feature where if a company is sponsoring the application then only that company's product will be displayed and the products in the similar type category will be from the same company only, otherwise whatever is the best possible result will be displayed. All these implementations will be carried out by a mobile application that will be cross platform in nature.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Tanishk Tripathi | Dayananda Sagar Academy of Technology and Management |
| 2 | Sourav Singh | Dayananda Sagar Academy of Technology and Management |
| 3 | Prathmesh Agashe | Dayananda Sagar Academy of Technology and Management |
| 4 | Uddipta Suruj Rabha | Dayananda Sagar Academy of Technology and Management |
| 5 | Anil Kumar B | Dayananda Sagar Academy of Technology and Management |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Tripathi, Tanishk, Singh, Sourav, Agashe, Prathmesh, Rabha, Uddipta Suruj, & B, Anil Kumar (2021). Product Recognition for Shopping using Artificial Intelligence and Machine Learning with Mobile App. International Journal of Advance Research and Innovative Ideas In Education, 7(4), 447-452.
MLA Style
Tripathi, Tanishk, et al. "Product Recognition for Shopping using Artificial Intelligence and Machine Learning with Mobile App." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 4, 2021, pp. 447-452.
IEEE Style
Tanishk Tripathi, Sourav Singh, Prathmesh Agashe, Uddipta Suruj Rabha, and Anil Kumar B, "Product Recognition for Shopping using Artificial Intelligence and Machine Learning with Mobile App," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 4, pp. 447-452, 2021.
Vancouver Style
Tripathi Tanishk, Singh Sourav, Agashe Prathmesh, Rabha Uddipta Suruj, B Anil Kumar. Product Recognition for Shopping using Artificial Intelligence and Machine Learning with Mobile App. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(4):447-452.
Harvard Style
Tripathi, Tanishk, Singh, Sourav, Agashe, Prathmesh, Rabha, Uddipta Suruj, & B, Anil Kumar (2021) 'Product Recognition for Shopping using Artificial Intelligence and Machine Learning with Mobile App', International Journal of Advance Research and Innovative Ideas In Education, 7(4), pp. 447-452.
Chicago Style
Tripathi, Tanishk, et al. "Product Recognition for Shopping using Artificial Intelligence and Machine Learning with Mobile App." International Journal of Advance Research and Innovative Ideas In Education 7, no. 4 (2021): 447-452.
Turabian Style
Tripathi, Tanishk, et al. "Product Recognition for Shopping using Artificial Intelligence and Machine Learning with Mobile App." International Journal of Advance Research and Innovative Ideas In Education 7, no. 4 (2021): 447-452.
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