Unfiltered is a social shopping platform that engages users to contribute selfie photos to online shopping sites to help online shoppers decide how garments look on a real person in various sizes vs a singular model body type. 

User creates login information. 

User inputs personal measurement and preferences so platform can match size and similar body type to crowd-sourced photos of garments. 

Women comes in different shapes and sizes and it's hard to be convinced how something looks when we can not relate our own body type to the idealized body type represented by brands. 

And it's gets even more complicated shopping for international brands where the numeric sizes are different for each country. 

The problem with online shopping is the risk in returns for retailers and the hassle of returns for consumers. Businesses best represent their brands with garments styled on ideal model figure. Typically one size for a range of size ranges. 

The user can enable beacon notification on their phone and receive specials if they happen to be near by their favorite store. 

Customer receives an alert for new season's arrival is in store or special perks to check out new merchandise. 

Customer is invited to share the dress with a quick scan of the item. 

Unique tagging system identifies the merchandise. 

Amy is on her break and may not have time to purchase. She quickly snaps a photo save on her phone. Amy can decide to share the look with Unfiltered community or store as private to purchase later online. 

A typical online e-commerce display one size model for range of sizes which does not help how this dress would look on a body type more closely related to her own. 

After logging in user can click on the Unfiltered button to populate images of real women in similar dress size to get a better idea how it may look based on similar height and/or body shape.

The view port then populates additional photos of people that have also tried on or purchased the dress helping other women to better decide their shopping purchase. 

The view port then populates additional photos of people that have also tried on or purchased the dress helping other women to better decide their shopping purchase. 

The participation and exchange within the social shop and share eco-system. 

The final competition was held in Poznan in front of a group 500+ attendees with guest judges in tech + fashion. The startups representative came from London, New York, Paris, Poznan, Milan.