ClearPath AI

Student Benefits Navigator

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ClearPath AI – Student Benefits Navigator

Inspiration

Many students miss scholarships, fee reimbursement programs, and educational support opportunities simply because the systems are difficult to understand. Eligibility rules are often spread across multiple websites, written in complex language, and hard to navigate during stressful financial situations.

We wanted to build a solution that helps students move from confusion to clarity by simplifying educational support systems using AI. Our goal was to create an accessible assistant that explains possible opportunities in simple language and guides users toward practical next steps.

What It Does

ClearPath AI is an AI-powered student benefits navigator that helps students understand which educational support programs they may qualify for.

The system collects user information such as:

  • Education level
  • Family income
  • Academic percentage
  • State/location

It then analyzes eligibility conditions and recommends relevant programs such as:

  • Post-Matric Scholarships
  • Fee Reimbursement Schemes
  • Merit Scholarships
  • Skill Development Programs
  • Student Financial Assistance Programs

The platform also explains why the student may qualify and generates a personalized action checklist to help them proceed confidently.

How We Built It

We built the project using:

  • Python
  • Flask
  • HTML/CSS
  • JSON-based program database
  • Gemini API for AI-generated explanations and guidance

Workflow

User Input
    ↓
Eligibility Analysis
    ↓
Program Matching
    ↓
AI Explanation
    ↓
Action Plan Generation

The application reads scholarship and educational-support program data from a structured JSON file and compares it against user information.

The AI component simplifies eligibility rules into understandable language and generates step-by-step guidance for users.

Responsible AI Design

One major risk in benefit-navigation systems is over-reliance on AI recommendations.

To reduce this risk, our system:

  • Uses “You may qualify” instead of “You qualify”
  • Clearly states that recommendations are informational only
  • Encourages users to verify details through official authorities
  • Keeps humans in control of final eligibility decisions

The AI assists users with understanding and navigation but does not make official decisions.

Challenges We Faced

One challenge was simplifying complex eligibility conditions into logic that could be interpreted consistently by the application.

Another challenge was balancing usability with responsible AI practices. We wanted the system to feel helpful and supportive without creating false confidence about eligibility outcomes.

We also worked within limited time and resources, so we focused on building a clean, functional MVP with a clear user journey instead of attempting to build a large-scale system.

What We Learned

Through this project, we learned:

  • How AI can simplify public support systems
  • The importance of responsible AI safeguards
  • How recommendation systems and NLP can improve accessibility
  • How to design user-focused workflows for real-world problems

We also gained hands-on experience integrating AI into practical social-impact applications.

Future Improvements

In the future, we would like to:

  • Integrate real government scholarship databases
  • Add multilingual support
  • Include voice-based interaction for accessibility
  • Expand support to healthcare and housing assistance systems
  • Provide real-time application deadline tracking

Impact

ClearPath AI aims to reduce the gap between students and the support systems designed to help them.

By transforming complicated eligibility information into understandable guidance and actionable steps, the platform helps students access opportunities with greater confidence and clarity.

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