Awards & Nominations

light has received the following awards and nominations. Way to go!

Global Nominee

LIGHT

High-Level Project Summary

THE VERY MEANING OF THE CHALLENGE IS BASED ON THE FACT THAT THE POWER SITE IS NOT POPULAR ENOUGH AND WE ALL AGREE THAT A MOBILE APP IS EASIER TO MANAGE.IT'S ABOUT RETHINKING POWER COMPLETELY. TO CREATE AN APPLICATION THAT INFORMS, AS SOON AS YOU KNOW HOW TO READ.WE PUT AT YOUR DISPOSAL ALL THE INFORMATION AVAILABLE ON POWER IN THE FORM OF A GRAPH.SO WE WANTED TO ALLOW LIGHT TO MAKE SOME STATISTICS TO HELP MAKE DECISIONS. LIGHT USES ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TO PREDICT THE AVERAGE SUNSHINE AND OTHER PARAMETERS SUCH AS WIND, HUMIDITY,...WE WOULD ALSO LIKE TO HAVE ACCESS TO SATELLITE DATA SUCH AS NuSTAR IN ORDER TO SET UP THIS TASK IN THE SPACE FRAME

Link to Project "Demo"

Link to Final Project

Detailed Project Description

IT IS QUITE CLEARLY STATED THIS OBJECTIVE, HOWEVER, THE VERY MEANING OF THE CHALLENGE IS BASED ON THE FACT OF THE COMPLEXITY OF THE POWER SITE.

IS THE SITE ITSELF ALREADY POPULARIZED ENOUGH?

DON'T WE AGREE THAT A MOBILE APPLICATION IS EASIER TO MANAGE THAN A WEB APPLICATION?


SEE THE POWER WEBSITE: https://power.larc.nasa.gov/data-access-viewer/


THE FIRST IDEA WHEN STARTING THIS CHALLENGE IS THAT YOU JUST HAVE TO CONVERT THE POZER SITE INTO A MOBILE EQUIVALENT TO GET A MORE OR LESS SATISFACTORY RESULT. BUT POWER WOULD NOT BECOME MORE FLUID FOR ALL THAT. THE PROBLEM IS NOT SOLVED.


INDEED, IT SHOULD HAVE BEEN POSSIBLE FOR EVERYONE TO FAMILIARIZE THEMSELVES WITH THIS MOBILE APPLICATION. AND FOR THAT, IT SHOULD LOOK LIKE THE MOST POPULAR APPLICATION. IT HAS TO BE AT THE LIMIT THAT IT IS BANAL. IT HAS TO GUIDE THE USER AND THE ANSWERS IT SENDS BACK HAVE TO BE GENERALLY INTERPRETABLE. THAT ITS INFORMATION IS NOT INTENDED FOR EXPERTS.


IT IS THEREFORE A MATTER OF COMPLETELY RETHINKING POWER. TO CREATE AN APPLICATION THAT INFORMS YOU AS SOON AS YOU CAN READ.


SO WE CREATED LIGHT AND IT TAKES INTO ACCOUNT THESE REQUIREMENTS.


IN FACT, EACH USER CREATES AN ACCOUNT (IN ORDER TO SAVE HIS DATA). AS SOON AS HE LOGS IN WE GIVE HIM THE AVERAGE SUNSHINE (DAILY), TEMPERATURE, WIND SPEED, HUMIDITY AT HIS POSITION RETRIEVED THROUGH HIS IP AND GOOGLE MAPS WHILE ALLOWING HIM TO ENTER THE COORDINATES OR THE REGION (WHICH WOULD MAKE LIFE EASIER FOR NON-KNOWLEDGEABLE) WANTED TO ACCESS THE PARAMETERS OF THE LATTER FOR THE DESIRED PERIOD. MOREOVER, IT IS MADE IN FRENCH BUT AVAILABLE IN MANY LANGUAGES WITH THE GOOGLE TRANSLATE API.


THIS IS NOT ALL, IT NEEDS ORIGINALITY. REMEMBER, THE MAN IN THE CHALLENGE VIDEO HAD SOME QUESTIONS FOR THE SCIENTIST. AND IF LIGHT (OUR APPLICATION) COULD PROVIDE HIM THE ANSWERS ?


WE WANTED TO ALLOW LIGHT TO MAKE SOME STATISTICS TO HELP HIM TO TAKE DECISIONS? IT WOULD HELP TO ANSWER QUESTIONS LIKE: WHEN DID THE SUNSHINE PEAK THIS YEAR? WHEN IS THE HUMIDITY LOW? FOR EXAMPLE, WHOSE ANSWERS COULD HELP US IN OTHER TYPES OF STUDIES.


HERE, LIGHT TAKES OUT THE GRAPHS OF TWO DESIRED PERIODS FOR EXAMPLE TO DEDUCE THE SUNNIEST ONE OR A SINGLE GRAPH ON WHICH YOU CAN READ THE MIN AND MAX


AND THIS IS WHERE WE ASK OURSELVES WHY NOT PROJECT OURSELVES INTO THE FUTURE.

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING CAN HELP US.

WITH THIS IMPRESSIVE MASS OF DATA, WE CAN MANAGE TO ENTER A MACHINE LEARNING MODEL THAT CAN PREDICT THE AVERAGE SUNSHINE AND OTHER PARAMETERS SUCH AS WIND, HUMIDITY,...,.


THE ANSWER TO QUESTIONS OF THE FUTURE IS NEVER TRIVIAL. BY KNOWING THE AVERAGE SUNSHINE IN THE NEXT TWO YEARS, FOR EXAMPLE, WE COULD KNOW IF WE SHOULD INVEST IN THE SOLAR ENERGY SECTOR ON THE STOCK MARKET OR NOT. WE COULD REDEFINE THE FRAMEWORKS OF EXPLOITATION OF FOSSIL ENERGIES.


LET'S TAKE A SIMPLE EXAMPLE. LET'S ASSUME THAT THE MINISTRY OF ENERGY IS GOING TO FOCUS ON ENERGY. THANKS TO THIS APPLICATION DESIGNED BY OUR TEAM, IT WILL BE ABLE TO CHOOSE THE BEST PLACE IN ITS COUNTRY AND THE BEST TIME TO PLACE THEM. SINCE IT SELLS THE ENERGY AND IT IS CHEAPER THAN THE CONVENTIONAL ONES, WE CAN DEDUCE THAT THIS STATE WILL MAKE A PROFIT. WHICH COULD BE THE CASE FOR MANY OF THOSE WHO WILL USE THIS APP.


NOW, LET'S ASSUME THAT IT IS AN AGRICULTURAL COMPANY. IT WILL BE ABLE TO CHOOSE ITS TYPES AND MODES OF CULTIVATION TO MAKE MORE PROFIT BY ANALYZING THE METEOROLOGICAL DATA AT ITS DISPOSAL.


YOU UNDERSTAND THAT THIS PROJECT HAS A FINANCIAL INTEREST AS WELL AS A RESEARCH AND INFORMATION INTEREST 


IN THE ACCOMPLISHMENT OF THIS TASK THE PYTHON AND R LANGUAGES WITH TENSORFLOW , SCIKITLEARN ,..., ARE USED TO PREDICT THE SUNSHINE ACCORDING TO THE PERIODS.


BIG DATA ANALYSIS IS THEN USED TO EXPLAIN THE IMPACT OF THESE SUNSHINE AVERAGES IN VIEW OF ALL THE DATA ALREADY AVAILABLE


YOU CAN FIND THE DOCUMENTATION ABOUT THESE TOOLS HERE :

https://docs.python.org/3/

https://www.rdocumentation.org/

https://www.tensorflow.org/guide?hl=fr

https://scikit-learn.org/stable/

https://docs.oracle.com/en/bigdata/


HERE WE HAVE ALREADY PLACED THE NECESSARY BUTTONS IN THE APPLICATION, BUT THE MODEL IS NOT READY YET



TO OBTAIN AND BE ABLE TO ANALYZE, USE AND MAKE AVAILABLE THE DATA OF NuSTAR, CHANDRA, AND XMM-NEWTON IN A SIMILAR APPROACH WOULD ALSO ALLOW US TO FACILITATE ACCESS TO SPACE METEOROLOGY DATA TO HELP ALL COMPANIES IN THE SPACE CONQUEST AND PREVENT DISASTERS

https://heasarc.gsfc.nasa.gov/docs/nustar/analysis/

https://chandra.harvard.edu/

https://www.cosmos.esa.int/web/xmm-newton


WE COUNT ON YOU TO UNDERSTAND AND SEE THAT LIGHT IS AN EXCELLENT PROJECT AND ONE OF THE BEST OF THIS HACKATHON

Space Agency Data


WE USED THE POWER API. INDEED IT IS TO HER THAT OUR APPLICATION ASKS FOR THE INFORMATION TO BE ABLE TO TRANSLATE THEM.

 WE FOUND IT QUITE COMPLETE IN TERMS OF DATA AND BETTER, IT COVERS THE WHOLE GLOBE


https://power.larc.nasa.gov/data-access-viewer/


THE API DOCUMENTATION WAS THEREFORE MORE THAN USEFUL









THE VIDEO ALLOWED US TO SET GOALS

You Are My Sunshine Challenge Video






Hackathon Journey



THIS HACKATHON HAS TAUGHT US AT THE BEGINNING THE DIFFICULTY OF WORKING IN A GROUP, MAINLY IN TELEWORK. IT GAVE US A GOOD TASTE OF RESEARCH AND TAUGHT US TO WORK UNDER PRESSURE AS OUR TEAM WAS FORMED ON THE LAST DAY AND THE CHALLENGE WAS NOT EASY.


WE WERE PARTICULARLY INTERESTED IN THIS CHALLENGE BECAUSE WE COULD IMPACT THE LIVES OF ALL THE INHABITANTS IN ONE WAY OR ANOTHER. WE WERE GOING TO CONVERT NASA WITH THE EQUIVALENT OF A FEW CLICKS.


MOREOVER, WHERE WE COME FROM, OUR SCIENCE TEACHERS COMPLAIN ABOUT NOT BEING ABLE TO DO ANYTHING BECAUSE OF THE NON-AVAILABILITY OF DATA. WE WANT TO MAKE OUR PEOPLE FREE

References

Example Resources

THE INFORMATION OF POSITIONS IN POWER INSPIRED US TO USE THE API OF GOOGLE TO RETURN THE LONGITUDES AND LATITUDES THANKS TO THE IP OR THE INDICATION OF THE ZONE.

https://developers.google.com/maps?hl=fr


THE PRESENCE OF METEOROLOGICAL DATA HAS INSPIRED US TO USE THE METEO CONCEPT API ESPECIALLY IN THE DEVELOPMENT OF OUR MACHINE LEARNING MODEL

https://api.meteo-concept.com/documentation


THE CONCERN TO MAKE THE APPLICATION ACCESSIBLE TO ALL LEADS US TO USE THE API OF GOOGLE TRANSLATE WHICH WE NO LONGER PRESENT.




https://rapidapi.com/blog/lp/google-translate-api/?utm_source=google&utm_medium=cpc&utm_campaign=Alpha&utm_term=api%20google%20translate_e&gclid=CjwKCAjwqeWKBhBFEiwABo_XBscNlCWYwU3yxG3ES5ziJPvVN2Cdjp-HQj3TbfFGD41t4Uud6vmQlBoC0V0QAvD_BwE

Tags

#LIGHT #SUNSHINE #BENIN

Global Judging

This project has been submitted for consideration during the Judging process.