Hey! What Are You Looking At?
ECLIPSE
Summary
Our model ,ECLIPSE, is based on Machine learning will helps visualize the key parameters of an eclipse. It takes parameters related to eclipse from the user to process it as per the pre-trained data to produce near precise predictions, as any ML model is not perfectly accurate. This model does away with the immense calculations which need to be carried out by the researchers and scientists in order to predict the eclipse and yields instant results which will save the time and complexity of the calculations that the researcher might have to face.
How We Addressed This Challenge
We developed an ML model in order to predict saros number, gamma, and eclipse type of Lunar and Solar Eclipses. It helps in easily available prediction of the said parameters. It works on taking input from user and giving out the predictions. We hope to achieve greatness !!
How We Developed This Project
Our team has always believed in providing easy solutions for the researchers hence we took this challenge to ease the job of the researcher.
We used : Google Colab, ML(Random Forest Regressor), Python, Figma
We encountered small obstacles but we all came together and fought our way to completion of the task we had taken upon us.
How We Used Space Agency Data in This Project
We used the data provided by NASA on Kaggle to train an ML model in order to predict saros number, gamma, and eclipse type of Lunar and Solar Eclipses.