Inspiration
After pondering our concerns about our future and what we could do to improve it, we settled upon the idea of resumes and interviews as we realized that we all had one thing in common: We haven't written a resume in our life. Empowered and concerned by this fact, we strove to create a tool to ensure that our futures were not a risky gamble dependent on the pity of the interviewer.
What it does
Our new and improved AI-powered helper reviews your resume before highlighting your weak points and suggesting improvements. It also gives you the opportunity to find jobs that fit your resume and test yourself in a mock interview using the personalized AI. Finally, it saves your data in the log terms using a login system so that you can look back on your past attempts at a 100% secure future.
How we built it
We started out by researching and brainstorming ideas and softwares we could potentially use to maximize our efficiency, preferably ones that we were acquainted with. Using heavy ideation, we then moved on to the main part of our algorithms. We start off by parsing the user's resume and giving specific feedback while still keeping the tone direct, short, and concise. Moving on from this, we started implementing mock interviews and a job recommendation system. Once finished with the main function of our website, we moved on to storing and using user data in a secure location and refining the UI to keep things much more user-friendly.
Challenges we ran into
There were many issues and bugs, and at times we weren't confident in finishing a feature within the given timeframe, so we often took U-turns at dead-ends, heavily impacting the time we had. To add on, we weren't as experienced in using databases such as MongoDB, or supabase. However, with the help of AI-assistance, we were able to finalize our product.
Accomplishments that we're proud of
We are proud of the steps we took in mixing together AI-assistance and databases to ensure a smooth transition for the data being used. Databases were a significant obstacle that we were proud to overcome.
What we learned
We learned how to utilize databases and implement APIs to improve our user friendly factors.
What's next for RagebaitResume
Improving our utilization of databases, and the accuracy of our AI-powered feedback, and making it more customizable for users.
Built With
- css
- google-cloud
- groq
- next.js
- node.js
- supabase
- typescript
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