Building an AI Reporting Automation System for Schools and EdTech
EducationA case study of building a mobile AI assistant for teachers with voice input and LLM-powered text processing, plus a scalable admin web panel for school management.
About the Project
EdTech / Education / AI-powered platforms • iOS, Android, Web • MVP to production release
This project is an AI platform for automating reporting in educational institutions. The system helps teachers quickly capture and structure information about students, while enabling administrators to generate final reports and maintain transparent communication with parents.
The solution includes two core components: a mobile app for teachers and a web-based admin panel for managing schools, content, and reporting workflows.
Business Challenge
Primary Goal
Reduce the administrative workload for teachers and improve the quality of parent communication by automating student report creation.
Key Objectives
- Simplify student data collection
- Reduce report preparation time
- Standardize reporting structure
- Use AI to improve the quality of written reports
- Centralize management of classes, students, and teachers
Delivered Solution
We built an AI assistant for teachers that allows them to:
- Capture student observations using voice or text input
- Automatically normalize and improve written content using an LLM
- Generate interim and final reports
- Manage the full reporting workflow through an admin panel
The system architecture was designed to scale across multiple schools and support large data volumes.
Key Functionality
Mobile App for Teachers
Admin Panel
Architecture & Technical Highlights
UX / UI
The UX and UI were designed from scratch by our team. The main focus areas were:
- Reducing cognitive load
- Fast one-handed interaction flows
- Convenient voice input experience
- Repeating common actions without unnecessary clicks
We designed the user flows, ran internal UX tests, and optimized the interfaces for real-life use in educational workflows.
Security & Scalability
Project Challenges
Main Challenges
- Complex report generation logic
- Multi-level role model
- Integrating LLMs into a real educational workflow
- Voice input and speech normalization
- Bulk LMS data import
- Asynchronous report delivery to parents
How We Solved Them
- Detailed formalization of business logic in the specification
- Moved all text generation and validation to the backend
- Implemented a modular integration architecture
- Scenario-based testing for edge cases
- Task queues to distribute teacher workload more evenly
Project Team
Methodology: Agile / Scrum. Sprint-based delivery, demos, and iterative development.
Results
What Was Delivered
- A mobile app for teachers
- An admin panel for schools
- A complete workflow for interim and final reporting
- LLM integration with OpenAI
Business Impact
- Significantly reduced teacher workload
- Faster report preparation
- More transparent communication with parents
- Centralized student data management
Technology Stack
Mobile
Web (Admin Panel)
Backend
Database
Integrations
Additional Notes
What Makes This Project Stand Out
- LLM integration into a real EdTech workflow
- Voice input as a core UX scenario
- AI-generated clarifying questions
- Scalable architecture for multiple schools
What the Team Is Proud Of
- Deep business logic design
- Measurable reduction in teacher workload
- Stable and scalable architecture
- Practical AI implementation in education
Download the App
The mobile app is available on the App Store:
Summary
We developed an AI assistant for teachers — a full-featured platform for automating reporting in educational institutions. The solution includes a mobile app with voice input and LLM-powered text processing, a web-based admin panel for school management and report generation, and a scalable architecture ready for multi-school deployment. The platform significantly reduces administrative workload for teachers while improving the quality of communication with parents.
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