Abstract: Modern e-learning platforms often follow a one- size-fits-all approach, delivering the same content to all learners without considering individual preferences, learning styles, or emotional states. This lack of personalization can reduce learner engagement, motivation, and overall learning effectiveness. To address these limitations, this paper presents EduCrate, an AI- powered personalized learning kit generator designed to create adaptive and user-centered educational experiences.

The proposed system allows users to select prebuilt courses or create custom topics by uploading learning materials. Based on user preferences such as learning style, language, and mood, the system generates personalized study plans, summaries, flashcards, audio lessons, and visual content. The study plan dynamically adjusts its duration and workload according to the learner’s mental state, providing longer plans for focused or curious moods and shorter plans for tired or distracted moods. In addition, a real-time AI chatbot is integrated to provide instant assistance and explanations during the learning process.

The system is implemented using a React-based frontend and a FastAPI backend, integrated with AI models for content generation and text-to-speech conversion. Experimental results show that the platform effectively delivers personalized, multi- format learning content and improves user engagement.

EduCrate provides a flexible, adaptive, and scalable solution for modern digital education by combining artificial intelligence with personalized learning strategies.

Index Terms: Artificial Intelligence, Personalized Learning, Adaptive Learning, E-learning, Chatbot, Multilingual Learning, Educational Technology

Downloads: | DOI: 10.17148/IJIREEICE.2026.14371