Solar Flare Predictor

For the project, we've learned the importance of collaborative effort and how it impacts the progression of our application. We faced several challenges during the project's creation. We faced technical challenges throughout our project such as version control, manipulating our data set, and filtering the data to tailor to our needs. Our project inspires BU students to explore AI and ML through space and astronomical concepts. It provides a strong foundation for how machine learning can be applied to diverse things throughout the community. Alongside this, it can showcase how we can use ML to create a large enough impact for BU students. The prediction of solar flare data has a big impact and is an overlooked topic. The project can help connect cities across the world by guaranteeing safe communication between astronauts. This will allow for proper satellite function and onward for communities everywhere.

Built With

• flask
• next.js
• python
• scikit-learn
• streamlit