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Contact
Kelolain
Work About Careers Insight Contact Us
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Client

Kahf

Kahf

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Solutions

Software

Type

Software

Date

July 2024

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Project Description

Project Description

Personalized Deodorant Recommendation System will guide users through a set of questions to identify fragrance preferences, activity level, skin sensitivity, and other factors influencing deodorant choice. Based on the answers, the system will suggest products that provide optimal protection and comfort throughout the day. This recommendation system aims to deliver a personalized experience in choosing deodorants, making it easier for users to find products that meet their specific needs, while fostering customer loyalty and satisfaction.

Personalized Deodorant Recommendation System will guide users through a set of questions to identify fragrance preferences, activity level, skin sensitivity, and other factors influencing deodorant choice. Based on the answers, the system will suggest products that provide optimal protection and comfort throughout the day. This recommendation system aims to deliver a personalized experience in choosing deodorants, making it easier for users to find products that meet their specific needs, while fostering customer loyalty and satisfaction.

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Highlight Features

Highlight Features

        • Interactive Questionnaire Interface
          A user-friendly platform where participants can answer tailored questions about their fragrance preferences, skin type, and daily needs.
        • Smart Recommendation Algorithm
          Leverages advanced algorithms to process questionnaire responses and provide personalized deodorant suggestions that best match individual requirements.
        • Product Display Section
          Features the recommended deodorant options, complete with descriptions, durability, key benefits, and links for purchase or more detailed product information.
        • User Feedback Loop
          Incorporates a feature for users to provide feedback on the suitability of recommendations, contributing to continuous refinement of the system for future users.
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