ScholarPath

Inspiration

Finding scholarships is often overwhelming for students. Many miss opportunities because eligibility criteria are scattered across different websites, or they don’t know which ones truly fit their profile. We wanted to build something that saves time, reduces stress, and makes education more accessible

What it does

Scholar Path is an intelligent scholarship finder. It takes a student’s background (such as academic level, field of study, financial needs, and location) and uses an algorithm to match them with scholarships that best fit their profile. Instead of searching hundreds of sites, students get personalized recommendations in seconds.

How we built it

Collected sample scholarship datasets (eligibility, deadlines, requirements).
Designed a matching algorithm using filters + similarity scoring to rank scholarships.
Implemented it in Python with pandas for dataset handling.
Built a simple interface (CLI / web page / prototype) to show results clearly

Challenges we ran into

Finding clean and reliable scholarship data was tough.
Balancing efficiency (fast search) with personalization.
Designing a scoring system that feels fair and transparent.

Accomplishments that we're proud of

Successfully built an algorithm that can filter and match scholarships to student profiles within seconds.
Created a working prototype in a short time under hackathon pressure.
Designed a solution that tackles a real student problem many of us personally relate to.
Learned how to combine data handling + algorithm design + user-centered thinking into one project.
Managed to present our idea in a clear, simple, and human way that anyone can understand.