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Eating out becomes
more interesting

An app for people who love to explore multiple cuisines but afraid of wasting money and feeling frustrated when cannot find the right item to order from the gibberish looking food menu. It solves the problem of visualizing the food, its ingredients and taste, even before ordering.

Eating out becomes
more interesting

An app for people who love to explore multiple cuisines but afraid of wasting money and feeling frustrated when cannot find the right item to order from the gibberish looking food menu. It solves the problem of visualizing the food, its ingredients and taste, even before ordering.
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My Role
Mentor
Duration
Award
CCA Sparks competition -
People Choice Award
14 weeks project -
Fall 2020
Solo Project

You would have identified the problem that I am going to talk about. Does it look familiar? Have you been through such food menus which is difficult to decipher ?

The Context

Many international residents, travelers and students love trying out new cuisines from different cultures, but, whenever go out to try something new and look at the menu, it just looks gibberish. I have to read online reviews and take risk to order something new, just to get disappointed when the food arrives. While talking many international residents and visitors like me, I realized that many are unable to explore new cuisines due to ignorance. One of them said that -

"I know this is impossible, but it will be great if someone could have shown me the food, at least a glimpse of it, before ordering ...

The Challenge

How can we get the look and feel of the food item along with taste and ingredient details before ordering, so that one does not waste money and get frustrated when the food item turns out to be bad.

The Solution

A menu scanner app that converts the physical menu to digital clickable menu and pulls relevant information about the selected food item as per local area with taste and allergic description.

The app scans the physical menu and converts it into digital clickable menu

A tap on food item suggest possible image, reviews and taste description as per user profile

Users will also get the detailed recipe of food item that the they liked at the restaurant

Users may also see the AR version of the food item for ease of decision making

The app scans the physical menu and converts it into digital clickable menu

A tap on food item suggest possible image, reviews and taste decription as per user profile

Users will also get the detailed recipe of food item that the they liked at the restaurant

Users may also see the AR version of the food item for ease of decision making

Design process

Looks cool, right! But, how did I reach till here? Here is the quick walk through of the process if you want to get into to the weeds!

Empathize

Conduct research
Understand users
Competitive analysis

Define

User problem point
User persona
Define the problem

Ideate

Brain storm
User flow
Paper sketch

Prototype

Lo-fi wireframe
Hi-fi wireframe
Real UI screens
Interactions

Brand

Color
Icons
Shapes
Fonts

Looks cool, right! But, how did I reach till here? Here is the quick walk through of the process if you want to get into to the weeds!

Empathize

Define

Ideate

Brand

Prototype

Conduct research
Understand users
Competitive analysis
User problem point
User persona
Define the problem
Brain storm
User flow
Paper sketch
Color, Icons
Shapes, Fonts
Design system
Lo-fi / Hi-fi
Final UI screens
Interactions
Test and Iterate

Empathize

I started with reaching to people with similar pain points (international students and visitors) and learned their feelings, pain points and wishes. Some of quotes from the user interviews goes like -

Sanjeev

International student, INDIA

I have always dreamed that what if someone could show me the food before ordering, so that I may judge it before and do not waste money in experimenting with them

Woo-Seong

Business traveler, JAPAN

Every time I have to call and ask to my friends for suggestion if they have been to this place before

Chun-Ting Chen

International student, CHINA

It is really difficult to understand the menu and food terminologies and I end up ordering same item everywhere

Priyanka, I am fed up of trying new places, ya! All these guys, write and explain the items so fancy that it looks like they are feeding us gold. But when it comes to plate, it is some ramen soup with some raw meat and green veggies. That’s it!
Experimenting new foodies not cup of my tea. I do not have enough funds to waste, I may do it once I start earning.     
I see some friends trying and experimenting with new cuisines, I also want to do that till the time I am here. But don’t know what to order. And just to avoid any hustle I order chipotle rice bowl, whenever I feel like eating different, since that is something I know matches my taste and close to Indian flavors as well. 

Define

I quickly laid out the user journey map that helped me define the problem that I want to solve. This is what Tina, goes through when she decides to eat outside someday.

Ideate

I thought, how can we get the look and feel of the food items along with some details beforehand to the food lover. This triggered my ideation towards machine learning technologies which has gained lot of traction for precise predictions as required in this case. My user pain points and ML capabilities started to converge further with some secondary research.

CNN

ML Concept 1

One can train a convolutional neural network (CNN, a type of deep neural network) to extract features out of an image and match it to other images with similar features

RNN

ML Concept 2

One can train a recurrent neural network (RNN, a type of deep neural network), to analyze text and extract useful information based on our requirement

Transfer Learning

ML Concept 3

We do not need to train a CNN or RNN from scratch. We have lot of open source libraries which can be further trained to suit our needs

Prototype + Testing

After finalizing the tech, I planed to sketch out some very early visuals to validate my intermediate steps. And that is when I thought of Lo-fi wireframes.

Final Screens

Brand Identity

For completion, I also created the brand identity for the product and took it another level. I selected the relaeway font face due to its performance on handheld devices. The brand colors (grey and yellow) were inspired by technology and food. The logo creation went under multiple iterations to get this look which related to food scanning technology.

Learnings

Value of early validation

I learned a lot from building the brand identity to taking the product to the hands of end customers via business pitches and financial forecasts

Brand building

It really helped me in understanding how some navigation which is very intuitive to me can be very complex for everyone one else, specially the potential user

Value of usability testing

Early validation of rough sketches directly through existing/potential users is a key to avoid a huge amount lot re-work later

Recognized the value of
early validation

Acquired brand building,
storytelling and pitching skills

Realized the value of usability
testing and Iteration

Early validation of rough sketches directly through existing/potential users is a key to avoid a huge amount of re-work later
It really helped me in understanding how some navigation which is very intuitive to me can be very complex for everyone one else
I learned a lot from building the brand identity to taking the product to the hands of end customers via business pitches and financial forecasts

I hope I was able to communicate with you in a digestible manner. If you like it, give me a call or shoot me a line/email and we can talk about how we can work together. You will see how, how I utilize my strength of deeply empathizing with the users to design veracity of products that users love. My savior skill of adaptability and fast learning is what I lean on all the time!

Have a project in mind?

I'm always open for collaboration, so don't hesitate to contact me. Let's create something great together!