How We Won NASA SPACE APPS CHALLENGE !!!!!

Kapil Chaudhary
Sep 2, 2018 · 3 min read

So On 20th August 2018, We get to know about this challenge and we never wait a second and registered for that with our team i.e Shanky (Android Developer), Puneet Sharma (Deep learning from Udacity), Rahul Aggarwal (Machine learning from Coding blocks).

On 22th August we got our confirmation for participation and a google form for choosing problem statement. You can find every information deeply at (https://jimsindia.org/hackathon/)

We choose problem statement that will impact millions In United States because it will create an impact and proved to be an important factor for helping to get selected. So our Problem statement : “Let’s Go To The Beach”

This Problem statement includes :

THE CHALLENGE
Build a tool for beach-goers to monitor for hazards and to alert them
of precautionary measures for protection on their swim- and surf-filled
adventures!
Background:
The salty smell of the ocean, the sand beneath your feet, the breeze
in your hair, and the warmth of the sun– who doesn’t love going to
the beach?
But before we jump in our swimsuits, let’s make sure we are well
prepared!
According to the World Health Organization [1], overexposure to
sunlight can cause harm to our skin, our eyes, and our immune
systems. In fact, protecting ourselves from UV damage, for example
by using hats, sunglasses, and sunscreen, can prevent four out of
five cases of skin cancer.Additionally, harmful algal blooms (HABs) can also pose a threat at
your next beach trip. According to the National Oceanic and
Atmospheric Administration (NOAA) of the U.S. Department of
Commerce, HABs occur when colonies of algae in the sea and in
freshwater grow out of control [2]. They can produce toxins that
cause rashes, breathing problems, and liver damage [3]. Satellite-
based images of ocean color can help forecast the presence of HABs
in water bodies, and can direct you to HAB-free beach areas near
you!
Develop a tool that alerts beach-goers to the precautions
they need to take before heading out to the shores.
-Predict their sun exposure based on:
The time of the day, and thus the distance from the sun, and
the angle of the sun’s rays
The location of the beach (latitude, altitude, etc.)
The month of the year, and thus the position of the Earth
relative to the sun
The cloudiness of the sky
-Suggest alternative times of the day, or days when sun exposure
levels are lower.
-Warn users of presence of HABs in local beaches, and direct them
to safer regions, where available.
-Add other precautionary and safety alerts as you see fit!

So we have done it all in 24 hours provided to us yay!!!

So We started at 10 AM on 31 august at jims rohini and divided the work amongst the team for example I was handling data collection and user interface using adobe xd. Sankalp aka shanky handling android application development. Puneet and rahul was handling deep learning and data modelling and training.

At about 1Pm NASA released it’s dataSet for developers about 89 links were there. We checked each and every link and hopefully we found data for HABs. Those images makes us happy because they were very good and our lots of work like inversion etc cutted off.

We worked on Android application and used openUv data released by NASA to develop algorithm to give notifications to user about UV exposure rate with the time of day to go to beach and lots of other features also.

Secondly our team worked on images of HABs to give user the alert about which shore our area near to beach contains HABs so that they might not get affect with them.

On the third and most important we worked on making our UI using Adobe xd

Now Tech we have used: Android studio 3 , firebase , tensorflow lite, adobe xd, biteable for video

Links : for PPT :https://drive.google.com/file/d/11VdZ_wEtvoi_gDQfCE2L8PGsU9I6yzUE/view?usp=sharing

For Video: https://app.biteable.com/watch/1984117/70ef8f9c492f7eb2aa8a797715aadf2fe26b3099

Android application Demo : https://drive.google.com/file/d/1JTpBcX6Vh5BxiZwnRX35CMUB9oFcJ7U2/view?usp=sharing

Sorry as We cleared the pre finals round we are not allowed to share the code right now but surely after IIT-Delhi we will make our code public on github presently it is in private mode.