AI Scholarship Finder

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  AI FOR SCHOLARSHIP

Inspiration

Finding the right government scholarship in India is confusing and overwhelming for students. Information is scattered across multiple portals like NSP, state websites, and department pages, each with different eligibility rules, deadlines, and documentation requirements.

Many eligible students miss scholarships simply because they don’t know which schemes apply to them. AI Scholarship Finder was built to solve this discovery gap by using AI to guide students step-by-step and surface relevant scholarships based on their profile.

What it does

AI Scholarship Finder helps students discover government scholarships they are likely eligible for by asking simple questions such as:

State

College type (Government / Private)

Course level (Diploma / UG / PG)

Category (General / OBC / SC / ST / Minority)

Family income range

Gender

Disability status

Based on this input, the platform:

Identifies applicable central and state government scholarships

Shows the total number of matching scholarships

Briefly explains each scheme (purpose, eligibility focus)

Provides official application portal references

Clearly displays a disclaimer that final eligibility depends on official verification

This reduces confusion and helps students take the right next step confidently.

How we built it

Frontend: React + TypeScript (Vite)

UI/UX: Step-based guided form with progress tracking

AI Layer: Google Gemini API

Data Source:

Publicly available scholarship information from the National Scholarship Portal (NSP) and official government sources

Architecture:

Rule-based filtering for structured inputs (state, category, course)

AI-powered reasoning to map user profiles to relevant scholarship schemes

Output:

Clean scholarship cards with guidance and official references

The system is designed to be transparent, explainable, and guidance-only.

How Google Gemini was used

Google Gemini plays a meaningful role in this project by:

Interpreting student profiles holistically instead of rigid keyword matching

Mapping eligibility conditions across different scholarship schemes

Generating human-friendly explanations for why a scholarship is relevant

Helping normalize inconsistent eligibility descriptions across government datasets

Supporting future multilingual expansion for regional languages

Gemini enables flexible reasoning where traditional rule engines fall short.

Challenges we ran into

No single unified dataset exists for all scholarships across India

Eligibility rules differ subtly across schemes and states

Some NSP scholarships are applicable broadly but are not explicitly state-tagged

Ensuring the platform does not mislead users while still being helpful

To address this, we added clear disclaimers and designed the tool as a guidance assistant, not an authority.

Accomplishments that we're proud of

Built a functional AI-powered scholarship discovery system during a hackathon

Integrated Gemini in a real-world, socially impactful use case

Created a clean, step-based UX that non-technical users can easily navigate

Ensured ethical usage through transparency and disclaimers

Covered both central and state scholarship discovery logic

What we learned

Government datasets are fragmented and require intelligent interpretation

AI can significantly improve access to public welfare schemes

Transparency and disclaimers are essential in civic-tech products

Gemini is powerful for reasoning-based eligibility matching

What's next for AI Scholarship Finder

Expand coverage to all NSP schemes with better state mapping

Add multilingual support for Indian regional languages

Enable downloadable scholarship summaries (PDF)

Partner with educational institutions for wider reach

Introduce deadline alerts and reminder features

Built With

• google-gemini-api
• html
• react
• typescript
• vite