VideoTutor is an AI-driven platform that converts user‑submitted math questions into real‑time animated video lessons, parsing natural‑language or LaTeX input and generating adaptive visualizations such as graphs and geometric constructions. The service integrates with learning management systems through LTI and RESTful APIs, providing educators with analytics on learner progress while maintaining GDPR‑compliant data handling.
Funding
Funding not disclosed
Founders
Product
Problem
Many math learners encounter fragmented explanations that lack visual context, making it difficult to grasp abstract concepts or solve specific problems efficiently. Traditional textbooks and static videos often provide generic content that does not adapt to a learner’s individual question or preferred learning style. This gap leads to slower mastery and lower performance on assessments.
Solution
VideoTutor offers an AI‑driven platform that transforms a user‑submitted math question into a customized, animated video lesson in real time. The system parses natural‑language or LaTeX input, selects appropriate visualizations (graphs, geometric constructions, algebraic manipulations) and generates step‑by‑step explanations aligned with the learner’s profile. Adaptive pedagogical rules adjust the depth, pacing, and example set to match the user’s proficiency and exam focus. Learners can pose follow‑up queries, prompting instant updates to the video without leaving the interface. All content is streamed from a secure cloud service and can be embedded in existing learning management systems via standard LTI or API integrations, enabling institutions to track progress and outcomes.
Target Audience
The primary users are high‑school and university students seeking on‑demand math support, as well as tutoring centers and online education platforms that need scalable, personalized video content for their curricula.
Features
- Natural‑language and LaTeX question parsing powered by a transformer‑based NLP engine
- Real‑time video rendering with dynamic visualizations (interactive graphs, geometry animations, symbolic manipulation)
- Adaptive explanation engine that selects pedagogical pathways based on learner proficiency and exam requirements
- Interactive follow‑up loop allowing incremental question refinement and instant video updates
- Built‑in library of exam shortcuts, real‑world applications, and alternative solution methods
- LTI‑compatible integration and RESTful API for LMS embedding and analytics collection
- GDPR‑compliant data handling with encrypted cloud storage and usage dashboards for educators