Edtech

AI Tutors Assistant: Smart:
Support for Inclusive Learning

To create an AI-powered tutor assistant that simplifies lesson planning for children with focus difficulties, making education more accessible and inclusive.

Project Goal

The assistant enables interactive learning, supporting diverse needs and helping teachers deliver engaging lessons tailored to each child’s unique learning pace.

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We utilize a robust tech stack tailored for high-performance solutions: Python for backend, React.js for frontend, and Google Cloud Platform for DevOps.

Tech stack

For AI development, we leverage GPT-4o mini, DALL·E 3, and Tesseract, while Figma supports UI/UX design and Jira handles project management.

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For AI development, we leverage GPT-4o mini, DALL·E 3, and Tesseract, while Figma supports UI/UX design and Jira handles project management.

Services

Custom Web Development

Tailored web solutions built from scratch to match your business goals, tech stack, and scalability needs.

AI Software Development

We integrate AI features like chatbots, recommendations, and automation to make your product smarter.

ML Software Development

We design and train machine learning models for prediction, classification, and data-driven decisions.

Development Operations

Streamlined DevOps processes to automate delivery, improve reliability, and scale infrastructure.

Quality Assurance

Comprehensive testing to ensure your product is stable, bug-free, and user-ready across all devices.

Business Analysis

We clarify requirements, uncover gaps, and align technical solutions with your business objectives.

Design Development

User-centered UI/UX design that enhances usability, supports brand identity, and drives engagement.

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The right technical decision at the right time saves months of development. Early on, we realized that ease of editing, not just content generation, was crucial.

Key Insight

We integrated PDF output with automatic structuring before final UI design, enabling quick user testing, saving time on UX, and avoiding costly redesigns.

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Project Plan

1. User Needs Research & Architecture Planning

We analyzed the client’s goals and challenges tutors face when preparing lessons for children with special needs, then designed a flexible system architecture for scalability and easy integration.

2. Core System Development & AI Integration

We integrated GPT-4, GPT-4 Vision, and DALL·E-3 into the platform. One model processes text, while the other generates relevant illustrations, enabling a fully prepared lesson in PDF within minutes.

3. UI Development & Process Automation

We built a user-friendly React-based interface that allows tutors to interact with the app: upload materials, receive ready-made lessons, edit and regenerate them as needed.

4. Performance Optimization & UX Enhancements

We continuously tested the system, gathered user feedback, and optimized both the generation workflows and the user experience. Our goal was to make the app as accessible as possible.

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This screen lets teachers review the AI-generated lesson and select activities to include, such as vocabulary learning, matching pictures, storyboards, quizzes, and exercises, ensuring the lesson is tailored and engaging for pupils.

Working with Wami on an app for inclusive children was a pleasure. The team impressed with their professionalism, speed, and responsiveness, plus smart use of AI and a user-friendly design. Always available and detail-oriented, they ensured the project’s success. Highly recommend Wami for innovative, high-quality work.

Evgeny

CEO

Approach

Challenge

To develop an AI-powered assistant that simplifies lessons for children with focus difficulties, automates content preparation, adapts dynamically to individual learning needs, and provides interactive, engaging activities to enhance participation, motivation, and learning outcomes.

Solution

We analyzed the client’s needs and created an AI assistant that adapts lesson plans to each child’s learning pace and style, offering personalized content to improve focus, engagement, and academic results.

Solution

Tutors can upload book pages, and the AI automatically generates complete interactive lessons — including exercises, illustrations, and tasks — in just minutes. This process simplifies lesson creation, enabling teachers to focus more on students and less on routine preparation.

Solution

We designed an intuitive, user-friendly interface that requires no technical background. Educators can start using the platform right away, easily managing lessons and customizing content. The clean design ensures quick onboarding and smooth daily use.

Solution

The platform supports tutoring, classroom, and online learning formats. Its flexible architecture ensures seamless integration, stability, and easy scalability as educational needs grow.

Final Solution

We delivered a platform that saves educators hours of work, allowing them to focus on meaningful interaction with students. Smart automation and personalization improve engagement, inclusion, and learning outcomes across teaching formats.

Teamvoice

When we started on the AI Tutors Assistant, I didn't expect it to shift how I think about EdTech entirely. Building something that helps teachers adapt lessons for kids with attention challenges — that's a different kind of responsibility.

Head of AI/ML

Roman

Scalable architecture, AI model integration, infrastructure that can't afford to be sloppy. It pushed my thinking.

Solution Architect

Yaroslav

Cross-cultural collaboration, shifting requirements, a client with high expectations — that tests a team. What surprised me was how engaged everyone stayed throughout. We hit real friction at points, but when the outcome actually matters to people, something shifts in how the team works. That was visible here.

Delivery Manager

Vlada

Solving the next challenge