Inspiration
Choosing a university is one of the biggest decisions students make, yet the process is confusing and fragmented. Students must evaluate tuition, living costs, visa requirements, career outcomes, and ROI across multiple sources. We were inspired to build EduPilot AI to simplify this journey and turn scattered information into clear, actionable decisions using AI.
What it does
EduPilot AI is an AI-powered university decision copilot that analyzes a university across key factors such as cost, visa process, career outcomes, and overall recommendation. It transforms complex data into structured insights, helping students quickly understand whether a university fits their goals, budget, and future plans.
How we built it
We built EduPilot AI using:
Streamlit for a simple and interactive frontend
Airia AI Pipeline API for generating intelligent analysis
Python (requests, JSON, regex) for API handling and data processing
We implemented:
A JSON extraction system to parse AI responses
A recursive search function to handle dynamic data structures
Terminal-based debugging to track API behavior and errors
Challenges we ran into
Inconsistent AI outputs (different formats and field names)
Difficulty extracting clean JSON from mixed text responses
API issues like authentication errors (401) and parsing failures
Handling missing or nested data fields across responses
We solved these by building flexible parsing logic and fallback mechanisms.
Accomplishments that we're proud of
Successfully built a working AI-powered decision system
Created a system that adapts to unstructured AI outputs
Designed a clean UI that presents complex insights simply
Integrated real-time AI analysis into a usable product
What we learned
How to handle real-world AI unpredictability
Importance of data normalization and error handling
Building user-focused AI tools, not just models
Debugging API systems and managing end-to-end workflows
What's next for EduPilot AI
Add multi-university comparison
Introduce a decision scoring system (Cost vs Career vs Visa)
Build a multi-agent AI architecture
Personalize recommendations based on user profiles
Expand into a full global education decision platform 🚀
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