natIgnite 2026 2nd place - GrantPath

 

Second place

$1,500 CAD seed funding
$1,500 CAD in-kind services


 

Team information

Team Name: GrantPath

Team Lead: Arhm Iqbal

Team Members:

  • Ishan Moudgil

  • Lubomyr Soroka

  • Mohammad Garewal

  • Riya Salian

Problem Provider: Mike Lyons

 

Project summary

A guided chatbot that helps students find disability-related funding and prepare complete, confident grant applications.

 

Problem statement

Many students with mental health conditions, learning disabilities, chronic illness, or accessibility needs qualify for funding but never apply, because eligibility rules, documentation requirements, and forms are confusing and intimidating. At the University of Alberta alone, an estimated $60 million in student aid goes unclaimed.

 

Solution

A guided workflow: a plain-language chatbot identifies potential eligibility (e.g., the Canada Student Grant for Students with Disabilities), voice-enabled clinician-visit rehearsals help students practise explaining their needs, and the tool helps assemble a complete, professional submission package. Built with Next.js, TypeScript, Tailwind CSS, Supabase, and OpenAI models with Whisper for voice input.

 

Key Highlights

  • Turns unstructured personal answers into clean application fields

  • Voice rehearsal helps students prepare without diagnosing or replacing a clinician

  • Directly targets unclaimed disability-related student aid

 
 

External Links

Github
Documentation

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natIgnite 2026 1st place - Bonita