Inspiration
As STEM majors, the hunt for internships is ever present. After facing rejections from every single REU and internships this (and every other) summer, we wanted to find a solution. NebuLaunch is a tool that aims to scan through websites such as Handshake and O*net to match applicants with the qualifications of succesful applications and suggest the best fit for them.
What It Does
Our program scans through all possible student employment and internship opportunities and, based on previous hiring patterns, it recommends the one you most likely fit. Based on factors GPA, major, year, and skills, it tells you how to structure your application based on previous succesful applicants.
How we Built it
We divided the project into two main parts, the algorithm which picks out what opportunities to suggest; and the interactive user interface. The algorithm works on a simple scoring system which assigns different points to different criteria: Example, it might add +4 points for a matching major and -2 for too low of a GPA. The user interface was built using python too and even has a Dark/Light mode toggle.
Challenges we ran into
We faced a severe time crunch since our project was probably too complex for a one day hackathon.
Accomplishments that we're proud of
We are proud of being able to finish our project!
Built With
- python
- tailwind
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