ResumeAI

Inspiration

Nowadays because of the recession applying and tailoring your resume according to the individual roles is kinda exhausting . Instead we could use that energy in preparation for placements.

What it does

It scans the job requirements and descriptions to match the present skillset already given in the portfolio/resume to optimize it accordingly to the requirements and apply automatically in multiple positions using the saas.

How we built it

The frontend tech stack is build with nextjs using typescript settings and dependencies. Also styling in tailwind css and cdnUI. The backend in nodejs and expressjs with using AI components as Gemini Api. Also supabase with supabase Auth, Realtime and supabase validated jwt tokens. Lastly, Rest Api CRUD Architecture for connection. More complex and analytical features will be added in the future.

Challenges we ran into

A lot of api issue and endpoint mismanagement. Also the backend keep missing important modules and imports in auth.tsx files. The AI keep messing with the versions. Also, the webcontainer was timed out quite often.

Accomplishments that we're proud of

First full MVP I have build. Also trying to solve a repetitive problem of applying for jobs , bringing it to full automation

What we learned

A lot of web development language especially working with typescript is quite easier than I thought. Also got introduced to Supabase. Actually was trying to use postgresql but found out supabase is a upgraded and more scalable version of postgresql.