Inspiration
I realized that educational problems are not limited to teachers managing complicated systems. Students can also struggle with a particular chapter or concept without anyone noticing. A student may move on to the next topic without fully understanding the previous one, and if that learning gap is not identified early, it can eventually lead to repeated mistakes and poor performance in important examinations.
I wanted to create a system that could identify these problems before the final exam. Chapter-wise competency tests can help teachers understand exactly where a student is struggling and identify recurring mistakes. This also gives parents an opportunity to understand where their child needs support and address the problem beforehand, rather than discovering it only after a poor exam result.
At the same time, I noticed that teachers face their own challenges with administrative work. Even routine tasks such as attendance can involve unnecessary steps and take valuable time away from teaching and interacting with students.
This led me to Scholaris — a platform designed to connect students, teachers, and parents, using AI and learning data to identify problems early and make everyday educational workflows simpler. The core idea is simple: don't wait for the exam to reveal a learning gap when it can be identified and addressed beforehand.
What it does
Scholaris is designed to combine classroom management, assessment, and learning analytics.
- Quick Attendance: Teachers can record attendance with just a few clicks.
- Chapter Tracking: Teachers can mark chapters as completed and initiate competency tests.
- Competency Tests: Students are assessed chapter-wise to identify understanding gaps early.
- Learning Gaps: Teachers can identify concepts where students are struggling.
- Continuous Mistakes: Recurring mistakes can reveal deeper misconceptions.
- Student Dashboard: Students can track their progress and upcoming work.
- AI Assistant: A focused assistant can help with practical queries such as timetables and assignments.
The goal is to identify learning problems early rather than discovering them in the final examination.
How I built it
I created Scholaris using AI-assisted development to turn my idea, workflows, and product vision into a web-based prototype.
The current website is primarily a use-case demonstration, and the underlying AI functionality is not yet fully implemented or operational. Some interactions are therefore simulated to demonstrate how the complete product could work.
While AI helped me build the prototype, the problem, ideology, feature design, and workflow are my own. My proposed system connects:
Teaching → Chapter Completion → Competency Test → Performance Data → Learning Gaps → Intervention
In a future version, AI would analyze this data to identify patterns, recurring misconceptions, and areas requiring attention.
Challenges I ran into
My biggest challenge was deciding what should actually be automated. I wanted AI to reduce repetitive work and identify useful patterns without replacing the teacher.
I also had to design the system to distinguish between a one-time mistake and a recurring misconception, while presenting the information simply enough for teachers and parents to act on.
Since this is currently a prototype, another challenge was communicating the future AI functionality honestly while still demonstrating its potential.
Accomplishments I'm proud of
I'm proud of turning several educational problems into one connected workflow.
The quick-attendance system reduces unnecessary administrative effort, while the Learning Gaps and Continuous Mistakes concepts shift the focus from simply showing marks to understanding why a student is struggling.
I'm also proud that, even though the current AI is not yet functional, I was able to use AI-assisted development to turn my real product vision into a tangible prototype.
Most importantly, Scholaris is designed around the belief that AI should augment teachers, not replace them.
What I learned
I learned that building an education solution is not just about adding AI. The technology needs to fit naturally into the workflows of students, teachers, and parents.
I also learned that identifying a problem is often more valuable than simply reporting its outcome. A low exam score tells you that something went wrong; identifying the learning gap before the exam gives you a chance to fix it.
Most importantly, I learned to design around the problem first and technology second.
What's next for Scholaris
My next step is to turn the prototype into a fully functional platform.
I want to implement the AI layer for analyzing assessment data, identifying recurring misconceptions, generating personalized competency tests, and providing actionable insights to teachers and parents.
I also envision integrations with existing school systems so Scholaris can become a teacher intelligence layer connecting attendance, curriculum progress, assessments, learning gaps, and student growth.
AI Usage
AI played an important role in helping me develop and present Scholaris.
- Claude was used to assist with building the website and turning my product ideas and workflows into the prototype.
- ChatGPT was used for text generation, refining the project description, and documentation.
The core idea, problem identification, product ideology, feature concepts, and overall workflow were developed by me. AI was used primarily as a development and documentation tool to help turn those ideas into a presentable prototype.
Since Scholaris is currently a use-case prototype, the AI functionality shown in the concept is not yet fully implemented or operational. The prototype demonstrates how the proposed AI system could work in a future functional version.
Built With
- edutech
- html
