A skincare app that works on image processing and provides objective customer feedback in real time
Image credit: https://www.pexels.com/photo/confident-black-female-with-sheet-mask-taking-selfie-on-smartphone-5938537/
Aashi Agarwal Oct 04, 2021
While browsing through various beauty and skincare Apps available in the market I realized that the only way one could select skincare products addressing a particular skin concern was by looking at customer feedback and customer ratings for said product on the platform.The market for skincare and beauty products is huge but there exists no evidence-based system to guide consumers in making an informed choice. I wanted to fill this gap in the market and came up with the following idea.
Absence of a tool for reliable, objective and quantitative assessment of various skincare products in terms of their efficacy in performing claimed function.
Drawbacks of existing model:
- The only information available to the consumer to choose a skincare product that potentially meets one’s requirement from a myriad of cosmetic products is customer ratings/customer feedback.
- Consumers often give subjective feedback not backed by any physical evidence.
- Consumers may rate products based on price, quantity, appearance, packaging quality or the like, instead of the intended product claim.
- There are no details about a consumer’s age, gender, ethnicity, nationality, region of residence and other such factors that might influence the product’s performance.
An app that takes a selfie and tracks progress of skin health using image processing and evaluates the efficacy of the products currently being used. With extensive data collection, recommendations can be tailored specifically for demographics instead of a one size-fits-all approach. This would be a platform to collect and share real world data on the effectiveness of a product on a particular audience. The platform could also be used as a tool for skincare companies to improve their product and market their product better to the right audience.
The skin-care market lacks transparency, efficacy data and compatibility data all of which can be solved with this solution.
Features that must be incorporated in the App:
- Have a comprehensive database of major cosmetic products used worldwide.
- Record ingredients used in skincare products and flag products that contain any harmful substances.
- Record user data like age, gender, ethnicity, nationality etc as well as lifestyle choices and food habits.
- Allow users to routinely log pictures of their face, guiding them about optimum settings for light, brightness, angle etc.
- Perform background analysis of the fed pictures and generate a graph of "Days of usage" vs. "Status of skin concern" using image processing.
- Keep selfies uploaded to the App private but data generated from the selfies should be publically available and used for defining performance.
- Aim to optimize the App to analyze for most common skin concerns like acne, wrinkles, hydration, pigmentation, dullness, pores, dark circles and the like.
- Allow users to search for relevant products using performance matrix and filters for age, gender, ethnicity etc.
Such an App would be of immense value to consumers worldwide who like to make purchases based on scientific evidence and indications generated from actual consumers in real time.
Importance of standardized selfies and an enhancement idea
Juran Oct 05, 2021
Hi Aashi! The idea is really cool, useful, and fun. I have some ideas on taking selfies and tracking your skin condition.
The first thing to be careful of would be the standardization of taken selfies. To make sure the algorithm is working properly and treating every selfie the same, some requirements should be met. The resolution requirement would be important but not decisive. It would just be needed for a photo to be clear and focused. I would suggest the obligatory use of flash. The user would take a photo with and without flash so that the algorithm can determine the amount of shade and other light artifacts.
I would also suggest an advanced feature that would be very useful for this app and the algorithm performance - hyperspectral image processing. It would allow skincare manufacturers, users, and doctors to better track what's happening on and under the skin. It would result in detailed and hopefully, more precise information on skin care products.