Fashion Advice Crowdsourcing Platform


Alternative text - include a link to the PDF!

Related Projects


Creator/Artist: Rishabh Jain

Category: Interaction Design

Document: P1 Project

Batch: 2016-2020

Source: India,   IDC IIT Bombay

Period:  2019-onwards

Medium: Report pdf

Supervisor: Prof. Juho Kim


Detailed Description

People have trouble finding personalised fashion advice due to differences in personal taste, not knowing who to ask, and shyness. Our solution is to create a fashion advice platform for people to get personalised fashion advice. The application is different compared to other similar solutions for two reasons, one is separating rating from advising, and another is its adoption of the rating system from dating apps to a fashion advice community. Commonly, people struggle to get good fashion advice in their everyday lives. They are not sure who to ask, and personal shoppers are expensive. By creating a platform where good crowdsourced personalised fashion advice is easily accessible, we hope to help people gain more confidence through their dressing styles. According to 11 out of 13 survey participants, shopping is a collaborative event. They all shop with companions (family and friends), and most ask those companions for opinions and help to find an outfit. This highlights the feasibility of using crowdsourcing for such subjective and opinion-based advice.