Admith Path

Inspiration

College planning is overwhelming for many students because the process is spread across too many disconnected steps: choosing classes, finding colleges, building extracurriculars, searching for scholarships, preparing essays, and figuring out what to do next. I wanted to build a tool that makes that process clearer, more personalized, and more actionable for students.

Admith Path was inspired by the idea that every student should have access to a structured college and career roadmap, not just students who can afford expensive private counseling.

What it does

Admith Path is an AI-powered college planning platform that helps students turn their academic profile, goals, and interests into a personalized roadmap. The app helps users organize their profile, explore college options, build college lists, draft admissions-related writing, and understand their next steps.

Instead of giving generic advice, Admith Path is designed around the student’s actual situation. It helps students think through academics, extracurriculars, career interests, college fit, scholarships, competitions, and application planning in one place.

Core features include:

• Student profile and goal tracking
• Personalized college and career planning guidance
• College list workflow
• Essay draft workflow
• Saved user data and progress tracking
• Authentication and signed-session protection
• Production deployment through Vercel

How I built it

I built Admith Path as a production web app using Next.js and deployed it on Vercel. The app includes signed-session authentication, database-backed workflows, user profile saving, college-list functionality, essay draft saving, protected routes, API routes, and production deployment testing.

The project also uses AI-guided recommendation logic to help students move from broad goals to specific, usable next steps. I focused on making the platform practical, not just informational, so students can actually use it as a planning dashboard.

Challenges I ran into

One of the biggest challenges was making the app feel personalized while still keeping the workflow simple for students. College planning has many moving parts, so I had to think carefully about how to organize the experience without overwhelming users.

Another challenge was hardening the production app. I worked through authentication, signed-session handling, database writes, protected user data, profile saving, college-list saving, and essay draft workflows. Making sure the live deployment worked correctly required testing the real app flow, not just building screens.

What I learned

I learned how important it is to connect product design with real user needs. A college planning app cannot just look good; it has to guide students through confusing decisions in a clear sequence.

I also learned more about deploying and testing a real production app, including authentication, database persistence, protected workflows, and live app reliability.

What’s next

Next, I want to fix the bugs that occurred because of high usage by users. Then I want to improve Admith Path with stronger recommendation logic, better scholarship and competition matching, more detailed roadmap generation, and cleaner student dashboards. I also want to add more guidance for different student paths, including STEM, business, medicine, humanities, entrepreneurship, and undecided students.

Built With

• ai-language-models
• analytics-tracking
• api-routes
• authentication
• database-backed-user-profiles
• javascript
• next.js
• prompt-engineering
• react
• recommendation-logic
• signed-sessions
• typescript
• vercel
• webapp