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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Photo Editing recommendation system |
| Authors Name: | Govind Mate , Kishan Agarwal , Marmik Chaudhari , Prof.Isha Sood |
| Unique Id: | IJSDR2305073 |
| Published In: | Volume 8 Issue 5, May-2023 |
| Abstract: | In recent times, machine learning and AI have seen significant advancements and have been applied to various fields such as healthcare, finance, transportation, and more. Machine learning can help make data easier to understand, process, and analyze in many different aspects. For example, machine learning algorithms can be used to predict outcomes based on past data, identify patterns and relationships in large datasets and it automatically classify data into different categories. As in we talk about the one of field in which machine learning is advancing in a good rate that in every aspect of industry. There are many ML models like creating text to image, image classification and many other things. Even there are so many ML model in existence, there are times when a person can’t get an idea of how to edit a photo or even if they know the result, but people don’t know how to edit it. So, we propose the idea of “Photo Editor Model”, this model will provide Lightroom pre-sets according to the image that you have uploaded. A pre-set is a saved group of photo editing settings in Adobe Lightroom that transforms your images with just a click of the pre-set. You then have the flexibility to adjust the settings that best fit the image you are editing. |
| Keywords: | Machine Learning, AI, Diagnosis, Creatinine, Biomarks |
| Cite Article: | "Photo Editing recommendation system", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.523 - 528, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305073.pdf |
| Downloads: | 000337215 |
| Publication Details: | Published Paper ID: IJSDR2305073 Registration ID:206168 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: 523 - 528 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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