Problem:

The problem is scientists and/or engineers care about the historical record of the Moon that tells a long story of the origins of our solar system, Some care about the potential for water. Some want to study how meteorites on Earth compare to lunar rock. Some want to build structures on the Moon and therefore need to know the properties of the soil. Many more competing priorities are relevant to today’s scientists and engineers, All lunar samples may have some type of value, but some have more scientific importance than others, astronauts wants to identify the valuable rocks at regolith layer at the moon, but in past missions there has been no way to assess the samples during the mission before leaving the Moon to give clear priorities as to which samples or parts of samples to bring home

Vision:

increase the scientific and engineering value of each human lunar mission by assessing lunar samples in-situ before or during the mission and only collecting those samples or parts of samples that are of highest value to the specific mission by the great percent of accuracy.

Solution:

Our project aims to help the astronauts to identify the rocks at the lunar surface without the need to bring the rocks to the earth, our system help in identifying the rocks in the fastest way by process happen when astronaut open the app he will find two choices: camera where the camera captures the rock, then our application could identify the rock with the high percentage of accuracy with machine learning in the dataset. Or the astronaut can use the X-ray fluorescence, mobile app it will use the data that comes from X-ray fluorescence in form of chemical composition, the mobile application will take this data and compare its component and give the historical record of it.

Marketing plan:

we will market by both online and offline methods:
-we will market online through social media like Facebook, Twitter and Instagram as the majority of people now use them, we will market to our project through scientific magazines like science news, and science daily.

in addition, we will market offline through scientific magazines as nature, and discover.

Future plane:

• Voice recognition
• Earth’s user
• Gamifications
• Notifications