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Text to Knowledge: AI- Enhanced Educational Support

Reference number
Coordinator Binogi AB
Funding from Vinnova SEK 2 500 000
Project duration April 2024 - March 2026
Status Ongoing
Venture India- Sweden Collaborative Industrial Research & Development Program Request for Proposal
Call Cooperation with India - company-driven research and innovation projects 2023

Purpose and goal

The project aims to launch an educational text scanning tool in India, to provide equal access to high-quality education for all students, regardless of socioeconomic status or background. By utilizing advanced AI and language models, the tool will convert scanned text into interactive and multilingual educational content, including videos, quizzes, and keyword descriptions. The goal is to increase the accessibility and comprehension of the content, enhance students´ learning, and contribute to equality and quality education in line with the UN´s sustainability goals.

Expected effects and result

Multilingual students in India have the opportunity to access school materials in multiple languages for more effective learning. These students also perceive the content as tailored and relevant to them, and consider themselves helped or very helped by the material. Students using the scanning tools find relevant material more quickly and continue to use the platform over time.

Planned approach and implementation

The project is jointly driven by Logicease and Binogi. The University of Toronto will independently verify the educational outcomes. The work is carried out iteratively in Stockholm and Ambala City, divided into four main work packages: 1. Detailed analysis of market dynamics 2. Validation and improvement of an AI-based in-app photo scanner for educational materials. 3. Development of AI-based content adaptation and synchronization tool 4. App commercialization and user engagement

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 15 April 2024

Reference number 2023-03538