Three winning teams demonstrated at Codechella 2025 what happens when students build solutions for problems they witness daily. Member of one of the winning teams, BSc (Information Systems) student Sidharth Rajesh, said that he has "witnessed educators spending countless hours grading papers late into the night, often sacrificing their personal time." His artificial intelligence (AI)-powered grading assistant, Edugrade, automates repetitive tasks while maintaining personalised feedback, giving teachers their evenings back.
Competing solo against larger teams, Sidharth Rajesh secured 2nd Place with EduGrade, an AI-powered platform designed to ease teachers' grading workload.
The idea came from watching teachers in Singapore work late into the night on assessments. "Teachers have a special place in my heart, and I wanted to build something that genuinely helps them," Sidharth said.
EduGrade tackles the time-intensive grading process that contributes to teacher burnout and delays student feedback. The platform automates repetitive assessment tasks while maintaining personalised feedback quality.
The system includes automated grading with natural language processing, handwriting recognition for photographed assignments, an AI study assistant that generates practice questions, real-time performance insights for students, and AI-powered lesson planning tools.
Sidharth built EduGrade through rapid prototyping, using AI tools including ChatAndBuild to develop features quickly while applying his own system design skills. He tested different technology approaches and refined the platform's ability to generate contextual learning content.
"I learned how powerful GenAI becomes when you prompt it properly," he said. "It doesn't replace us, it enhances what we can build."
Sidharth envisions EduGrade scaling to support teachers and students globally, enabling personalised learning at scale while freeing educators to focus on higher-impact teaching.