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Ajay Soni

Senior UX Designer

Ajay Soni

UX Designer

Body Pose Fixing App

ModelBuddy is the body pose fixing mobile camera application that helps model and non-model users to click high-quality photography. It offers accessibility to its users to fix their body posture with a reference pose in the real timer with the help of Augmented Reality technology and machine learning called Machine Learning Kit

Industry

Photography

Location

Bengaluru, India

Project

Personal Project


Problem Statement

First of all, let us understand the problem statement here.

When a user get inspired by a model on the internet they want to replicate them so that they can also look cool, hot, and sexy. This is the time when most of the users in Gen-Z are trying to post their daily activities on Instagram and Snapchat.

They try to maintain their social media appearance with new photo shoots frequently. But, due to the lack of camera knowledge, and body postures in front of the camera, they are not able to click pictures as they see on the internet.


Design Process

The project was created using the Double Diamond methodology, encompassing every project phase – from comprehensive research and issue identification, to prototype creation, and final design refinement.

Discover

UX Research
Competitors Research
Surveys and Interviews
Technology Exploration

Define

IA Mapping
POV statements
User Stories

Develop

User Flow
Prototype
Testing

Deliver

UI Design
Color and Typography
UI Kit


Surveys & Questions

I asked multiple questions to my colleagues, friends, and users who were available about a similar problem. This process helped me gain deep insight into what a user is struggling with and how want an app to help them.

Total questions asked: 45 Questions

How frequently do you click pictures of yourself or others?

58%

Users struggle to make good body language and posture

24%

Users do not know what to wear during a photoshoot

18%

Users do not know camera angles, light conditions, and model postures


In-depth Interviews

Asking my targeted user sample some in-depth questions helped me to understand their behavior and views on the model photography. With the help of this activity, my main goal was to understand the behavior and pain points of the users.

Number of Interviews: 3 Interviews

I love creating content for my social media, but I always feel stuck with the same poses. Everyone else seems to have these cool and unique ways of posing, and I can’t seem to come up with anything new. It’s hard to stand out when everyone looks the same!

– Gen Z Social Media Creator

I’m really interested in pursuing modeling, but I have no experience and I’m not sure where to start. I see all these professional models with flawless poses and expressions, and I feel like I could never achieve that level. I wish there were some way to learn posing techniques without having to pay for expensive classes.

– Aspiring Model

I enjoy taking photos, but I always find myself repeating the same basic poses. I want to explore more creative and challenging ways to pose my subjects, but I don’t know where to find inspiration or learn the technical aspects. I feel like I’m stuck in a rut, and my photos are starting to look repetitive

– Photography Enthusiast

Technology Integration

When I was ideating the solution to the problem, I came up with two services that are available in the market. These two services help us to integrate AR/VR and body posture detection in any camera or mobile app.

Open CV
Google Media Pipe

So, we can use the existing pre-made technology. Integration of this matured technology can help us to make this app more reliable and accurate.


Information Architecture


Data User Flow Diagram


Low Fidelity Wireframes

With the help of this activity, I recognized how my app should look and how to different items on different screens with the help of wireframes. Later on this, I designed the high-fidelity user interface.


Color System

Typography

Dm Sans

Regular/Medium/Bold

Our app design helped users to understand the market in more depth and it also helped them to increase their average monthly income by up to 35%.