I-Fit

INSPIRATION

In Current Covid Situation, Students are spending at least 4-5 hours in Online Classes. This is in addition to their normal screen time before the pandemic. IT employees spend daily 8-12 hours a day in front of computers attending meetings, managing clients and building software products due to Work From Home. Eye problems have become common. Dry and Irritated Eyes, Eye Fatigue and Near nearsightedness of Vision are some of the common eye problems wee deal with. Doctors say "Blinking and Pupil Movement" are vital for cleaning the eye and prevent infection. It also brings nutrients, minerals and other beneficial substances to the surface of the eye. Researchers has shown that with decrease in eye health and vision, individuals are more susceptible to mental health disorders such as anxiety and depression.

WHAT DID WE DO?

So We Built I-Fit which will run in the background
1) I-Fit tracks "eye movements" and "counts blinking rate".
2) Timer starts only whenever face is detected .
3) It alerts user in case of below average blinking rate.
4) It also gives detailed analysis on your blinking rate with graphs and remedies.
5) Stores daily report separately in a folder.

TECH STACK

1)Python(Base programming language)
2)PyQt5 (For GUI development)
3)OpenCV & Dlib(For Eye & Face Detection)

CURRENT GOAL

1) Fitness App

We want to develop an fitness app like google fit with additional feature to track eye fitness.
A user using our product on all his devices will get better data about his eye fitness.

2) Video Calling App

In future, We want to build a video calling app with eye and face tracking feature of our current product.
This will help in online attendance during Online meetings and classes.

CHALLENGES WE RAN INTO

The task would be lot simpler if we were able to use GCP. So we decided to shift to local storage.

WHAT WE LEARNT?

We learnt a lot about openCV and Image Processing. There is a lot of stuff we can build using image processing, and OpenCV makes this task easier. We also came to know about Graphical User Interface development using PyQt5 and dlib helped us to identify facial features.

MARKET ANALYSIS & STRATEGIES

Target Market:
Students
IT employees/ Adult who rely on devices for work
Avid laptop users and Gamers

Collaboration & Partners:
Optometrists
Eye Care Hospitals
Tech Companies

Customer Acquisition Channels:
Partnership with Tech companies and Optometrists
Marketing Campaigns

Customer Retention:
Reward and Referral System
Constant Upgradation of Services

WHAT'S NEXT?

1)Using Google Cloud services to manage storage and improve productivity​
2)Weekly Reports in mail​
3)Develop Blinking gesture controlled actions.
​ 4)Improve UI ​
5)Similar App for Linux Users
​ 6)Developing similar Apps for phone (Android and IOS) users

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