AYUMUKHA: Facial Recognition and Detection Using Artificial Intelligence for Skin Care
Bonda Abhinaya Sree
, C. Amrutha Lakshmi , Pyla Sai , G. Nagalakshmi
AyurMukha, Skincare, Artificial Intelligence, Machine Learning, Facial Recognition, Image Processing, Data Preprocessing. Conventional Neural Networks
The AyurMukha is designed with Image processing and detecting techniques to identify the pigmented area on the face which helps to detect the Visual health rate of the skin. This processing is related to Artificial Intelligence. Machine Learning is the sub-part of Artificial Intelligence also involved in this work of research. The pigmentation on the face is detected by the image given by the user identifying the area of the darker part on the face and results in the how much level the skin on the face has pigmentation whether it is low, medium or high. After detecting facial Pigmentation, the latest algorithms of Artificial Intelligence train the system about every Natural ingredient and food Plan, and Suggests Ayurvedic natural remedies with the prior procedure. CNN played a crucial role in this project where in-depth layered Neural Networks and Multi Layered Neural Networks were used. The Goal of AyurMukha is to present the public with cost-free Skin Care with no Marketing Strategies. “AyurMukha”, is a skin care treatment for the face Naturally with no chemicals, the desired therapy will be suggested by analysing the condition of the User’s face with image capturing, Tips, Remedies and a good diet to achieve healthy Skin. The recommended skin therapies are from India’s knowledge of Life called “Ayurveda”. So, this is purely Natural, and trustworthy with 100% no side effects
"AYUMUKHA: Facial Recognition and Detection Using Artificial Intelligence for Skin Care", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 4, page no.675 - 680, April-2024, Available :https://ijsdr.org/papers/IJSDR2404094.pdf
Volume 9
Issue 4,
April-2024
Pages : 675 - 680
Paper Reg. ID: IJSDR_210803
Published Paper Id: IJSDR2404094
Downloads: 000347395
Research Area: Computer Science & Technology
Country: tirupati, Andhra Pradesh, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
