GradeVise.

GradeVise
CompletedFlutterDartFirebase

GradeVise is an AI-powered automated grading system built to reduce the manual workload for educators and provide students with personalized, AI-driven feedback on assignments. Through features like classroom creation, answer key uploads, and automated evaluation, the app saves teachers time while giving students instant reports, progress-tracking visuals, and tailored learning resources.

01

Automates assignment evaluation and delivers personalized feedback through AI

02

Provides instant performance reports, progress-tracking visuals, and tailored learning resources for students

03

Reduces manual workload for teachers by providing AI-driven automated grading

Stack

Built With

The stack combines the core frameworks, services, and UI tools used to ship the project.

FlutterDartFirebasePythonMachine Learning

Process

Project Timeline

Jan 2025

Project Inception

Research phase — explored NLP models for automated grading

Feb 2025

MVP Development

Built core Flutter app with Firebase auth and Python grading API

Mar 2025

ML Integration

Integrated ML scoring pipeline and fine-tuned accuracy

Apr 2025

Launch

Deployed and tested with pilot group of educators

Highlights

What It Delivers

  • 1Automates assignment evaluation and delivers personalized feedback through AI
  • 2Provides instant performance reports, progress-tracking visuals, and tailored learning resources for students
  • 3Reduces manual workload for teachers by providing AI-driven automated grading
  • 4Supports United Nations SDGs of Quality Education, Reduced Inequalities, and Innovation
Open to opportunities

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I'm always open to discussing new opportunities, collaborations, and interesting ideas.