The research paper aims to develop smart educational platform that uses artificial intelligence (AI), machine learning (ML), natural language processing (NLP) to improve learning by providing personalized content and adaptive feedback with the goal of assessment and progressive learning. This platform is organized into three levels of difficulty: beginner, intermediate, and advanced and it covers essential STE(A)M topics and more, allowing the learning system to adapt in real time to the user’s needs. An important component is the addition of a voice interaction feature, enabling learners to communicate naturally with the AI assistant through spoken language (NLP). This enhances accessibility and supports hands-free interaction, especially in practical learning environments or for individuals with disabilities or with communication difficulties. The platform targets educational institutions and corporate training programs to improve learning outcomes, identify skill gaps, and reduce the time and costs associated with conventional evaluation.