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“Anamay – Free From Disease”
Prof. Shubham Gaikwad
D Y Patil School of Engineering & Technology, Ambi
Pune, India
shubham.gaikwad@dypatiluniversitypune.edu.in
Shlok Mahajan
Department of B. Tech in Computer Engineering
D Y Patil School of Engineering & Technology, Ambi
Pune, India
shlokmahajan0124@gmail.com
Roshan Hinge
Department of B. Tech in Computer Engineering
D Y Patil School of Engineering & Technology, Ambi
Pune, India
roshhan1121@gmail.com
Ishika Pahire
Department of B. Tech in Computer Engineering
D Y Patil School of Engineering & Technology, Ambi
Pune, India
ishikapahire2@gmail.com
Dhiraj Gaikwad
Department of B. Tech in Computer Engineering
D Y Patil School of Engineering & Technology, Ambi
Pune, India
dhirajgaikwad226@gmail.com
This project focuses on the development of a mobile application designed to empower consumers in making informed, safer choices regarding the cosmetics they use. The core functionality of the app is to allow users to scan the barcode or manually input the ingredients of cosmetic products, which are then analyzed and cross-referenced against a comprehensive database of known allergens, irritants, and harmful substances. The system utilizes an advanced algorithm to assess the compatibility of the product with the user’s specific skin type, medical history, and any known allergies, providing personalized recommendations to ensure optimal safety and effectiveness. The application is structured around two main modules: a User Details Module and a Summarization Module. The User Details Module is designed to collect and store important information about the user, such as skin type, known allergies, and relevant medical conditions, all in a secure and privacy-conscious manner. This data forms the basis for the app’s personalized safety evaluations. The Summarization Module then evaluates the product’s ingredient list in relation to the user’s profile, highlighting any potential risks or adverse reactions. If a product contains ingredients that could pose a threat based on the user’s personal data, the app generates a list of safer alternative products that are better suited to the individual’s needs. This solution aims to address the growing consumer demand for transparency in cosmetic product ingredients and to reduce the risk of skin reactions or other health issues caused by unsuitable products. By providing real-time safety assessments and actionable alternatives, the app not only enhances the user’s ability to make informed decisions but also promotes greater confidence in daily skincare routines. Ultimately, this project seeks to improve overall consumer safety and well-being in the rapidly growing beauty and personal care industry.
Keywords:
1. Cosmetic product scanner 2. Skin type 3. Allergies 4. Medical history 5. Personalized recommendations 6. Ingredient analysis 7. Allergens 8. Harmful substances 9. User profile 10. Product safety evaluation 11. Database of allergens 12. Personalized skincare 13. Barcode scanning 14. Product safety 15. Skincare routine 16. Alternative products 17. Mobile application 18. Consumer safety 19. Real-time analysis 20. Transparency in cosmetics
