✨ KEPLER-16B

Using NASA Data through APIs to Create Environmental Variable Prediction Algorithms

The utilization of data from NASA via APIs has been a fundamental pillar in our quest to build effective prediction algorithms for environmental variables. This data is not only abundant but also diverse and high-quality, enabling the generation of precise and reliable models.

Exploitation of NASA Data

Our group has implemented a holistic approach to integrate NASA APIs into our game scoring system, using predictions of environmental variables. The APIs provide access to a vast repository of information, including weather data, air quality, and atmospheric phenomena, which are crucial for modeling the game environment. This approach not only enriches the player’s experience but also ensures that decisions made in the game are based on real and up-to-date data.

APIs Used for Data

Researching various NASA APIs has been a critical step in the development of our predictive models. By selecting the right APIs, we have been able to gather relevant data that serves as input for training our algorithms. The availability of these APIs has allowed us to access data from various missions and satellites, which has been essential for constructing robust and accurate models.

Extraction of Datasets from Google Earth Engine

We identified NASA APIs that are key for training our models. By utilizing Google Earth Engine, we were able to extract specific datasets related to environmental variables, such as temperature, humidity, and air quality. This tool not only facilitates data extraction but also allows for geospatial analysis that enhances the quality of the information used in our algorithms.

Data Exploration and Preparation

Once we gathered the datasets, we initiated a thorough process of data cleaning and preparation. This process includes removing outliers, integrating multiple data sources, and transforming variables for easier analysis. The importance of this stage lies in ensuring the quality and integrity of the data, which is vital for the success of any predictive model. Without proper data handling, the results obtained would be inaccurate and unreliable.

AI Models for Estimating Environmental Variables

The implementation of artificial intelligence models, such as Decision Trees and Regression, has allowed for more precise estimations of environmental variables. The possibility of expanding this approach to other models in the future is a testament to the flexibility and power of NASA APIs. As data and technology evolve, our models will also be able to adapt and improve, ensuring that our solutions remain relevant and effective.

Game Integration

The integration of NASA APIs has not only improved the quality of data in our game but also transformed the user experience. These APIs provide real-time data that influences the game’s campaigns and events, making player decisions have a tangible impact. Furthermore, AI models generate future scenarios based on real data, and the scoring system evaluates player decisions against these predictions. This interactivity and realism enrich the user experience, aligning the game with environmental reality in an innovative way.