Project Title: Anova - Guide to Exoplanets

Project Overview:

Anova - Guide to Exoplanets is an innovative web-based platform designed to provide users with in-depth insights into exoplanets. Utilizing modern web technologies such as HTML, CSS, and JavaScript, along with the Three.js framework for 3D visualizations, this project aims to make learning about exoplanets engaging and interactive.

Key Features:

1. Comprehensive Exoplanet Information:

- The website offers detailed descriptions of identified exoplanets, including the star systems they belong to and their discovery timelines.

- Users can explore visual representations of various exoplanets, enhancing their understanding of these distant worlds.

2. Direct Access to NASA Resources:

- Anova includes direct links to NASA's latest discovery articles, ensuring that users have access to up-to-date information and findings in the field of exoplanet research.

3. Downloadable Datasets:

- The project provides a selection of datasets sourced from NASA, enabling users to download and utilize this data for various types of analysis, including data science and machine learning projects.

4. Interactive User Experience:

- An interactive section allows users to search for exoplanets based on specific criteria. They can also save visuals of their chosen planets as PNG files, promoting an engaging learning experience.

5. AI Integration for Imaginary Planets:

- A unique feature of Anova is the planned integration of artificial intelligence, which will enable users to describe their own imaginary planets. The AI will generate visuals based on these descriptions, encouraging creativity and imagination in exploring planetary possibilities.

Data Sources:

- The project leverages datasets from NASA to ensure the accuracy and reliability of the information presented.

- Additional data has been scraped from various reputable sources to enrich the content and provide a comprehensive view of exoplanets.

Technological Stack:

-Front-end: Developed using HTML, CSS, and JavaScript for a responsive and user-friendly interface.

- 3D Visualization: Implemented using the Three.js framework, allowing for dynamic and interactive 3D models of exoplanets.

- Data Analysis: Incorporates data analysis techniques to extract insights from the collected datasets, enhancing the educational value of the platform.

2024 NASA Space Apps Challenge

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