SBU PathFinder

What It Does

An AI-powered web app that creates personalized, semester-by-semester academic plans for Stony Brook University Computer Science students.

The Problem: CS students don't know which courses to take, what projects to build, or how to prepare for their dream job. With 50+ courses and countless career paths, planning is overwhelming.

The Solution: Tell the app your career goal (Backend Engineer, ML Engineer, etc.), your current academic standing, and your constraints. The AI generates a complete roadmap showing:

• Which SBU courses to take each semester (with prerequisites respected)
• Which technical projects to build (from build-your-own-x repository)
• Which skills to learn outside of class
• Critical milestones (when to apply for internships, career fairs, portfolio deadlines)

Key Features:

• Personalized to your goal, timeline, and available study time
• Based on real SBU course data and prerequisites
• Includes curated coding projects that complement your coursework
• Saves multiple roadmaps so you can explore different career paths
• Editable - remove courses, add notes, regenerate semesters

Example: A sophomore wants to become a Backend Engineer by Summer 2026. The app generates a plan: "Take CSE 216 and CSE 220 in Fall 2025, build a Shell project to apply systems concepts, learn Docker, and apply for internships in January 2026."

Built for SBUHacks 2025 using React and NeuralSeek AI.

---

Setup Instructions

Setup SBU Advisor Frontend

1. Clone the Repository:

  git clone https://github.com/raghavSharma8269/SBU_PathFinder.git

2. Navigate to the Project Directory:

  cd SBU_PathFinder

3. Create .env & add the following:

REACT_APP_NEURALSEEK_API_KEY=API_KEY_HERE
REACT_APP_NEURALSEEK_URL=https://stagingapi.neuralseek.com/v1/instance_name
VITE_API_URL=http://localhost:5000

3. Install Dependencies:

  npm install

4. Start the Development Server once server is setup:

  npm start

Setup SBU Advisor Backend

1. Navigate to the server directory:

  cd server

2. Create .env & add the following:

PORT=5001
MONGO_URI=MongoDB_Connection_String_Here
NEURALSEEK_API_KEY=API_KEY_HERE
NEURALSEEK_URL=https://stagingapi.neuralseek.com/v1/instance_name

3. Install Dependencies:

  npm install

4. Start the Server:

  node server.js