Envlogic
Adaptive learning system (ALS) powered by AI
What it does
The app is an Adaptive Learning System (ALS) designed to provide highly personalized learning experiences by integrating various advanced technologies. The ALS customizes the learning path for each user based on their unique needs and preferences. It utilizes a Learning Engine that dynamically adjusts content, difficulty, and feedback based on the learner's progress, strengths, and weaknesses.
Technology used Flutter, fast Api, firebase, Neo4j, PostgreSQL & TensorFlow
The Gemini API plays a crucial role in enhancing the system's capabilities. It is integrated with the Learning Engine to provide advanced natural language processing and understanding, and act as inference engine allowing the ALS to generate human-like text responses, explanations for the expert system within the app. The Gemini API also aids in generating personalized content and adaptive learning recommendations based on real-time analysis of the user's interactions and performance data. Gemini manages content generation with fine-tuned model like Knowledge Graph Generation Model, Non-Graphics Generation Model, Graphics Generation Model (fined tuned for text to TIKZ code), & Item Generation Model (for generating the item bank used by Computer Adaptive testing (CAT) system.
Overall, the ALS leverages the capability of expert system, Adaptive learning system & LLM to work together to provide Personalized, scalable & Automated system for Manage learning and content generation.
Built with
- Flutter
- Web/Chrome
- Firebase
Team
By
Envlogic
From
India