Envision EdTech: Revolutionizing Intelligent Education through AI and Innovation for a Smarter Tomorrow

This paper introduces EnvisionEdTech: Revolutionizing Intelligent Education Through AI and Innovation for a Smarter Tomorrow, an advanced AI-powered educational platform that delivers adaptive, inclusive, and interactive learning experiences. The system is architected to integrate core modules such as intelligent lecture summarization using NLP and transformer-based models (BERT, T5), AI-driven career guidance using decision trees, random forests, and K-means clustering on historical academic and aptitude data, and dynamic exam question generation using NLG techniques and Bloom’s Taxonomy classification.The real-time interactive doubt-solving module is powered by WebRTC and Socket.IO, enabling low-latency peer and mentor communication, supported by NLP-based semantic search to suggest relevant content during chats. Virtual science experiments are simulated using 3D libraries (Three.js) and OpenCV, creating immersive, interactive lab experiences. A robust plagiarism detection system leverages semantic similarity comparison using sentence embeddings and cosine similarity via Sentence-BERT and spaCy pipelines.The backend is implemented in Node.js and Express.js, with RESTful APIs and JWT-based authentication for secure, scalable operations. AI services are deployed using TensorFlow, PyTorch, and orchestrated with Docker and Kubernetes for containerized microservices. The frontend is built using React.js for web and React Native for mobile, styled using Tailwind CSS, and follows a responsive, component-based architecture. Real-time data analytics and performance dashboards are powered by Tableau and Power BI, processing data pipelined via Apache Kafka and MongoDB Atlas.Deployment is cloud-agnostic, supporting AWS (S3, EC2, Lambda), GCP (Firebase, BigQuery), and Microsoft Azure (App Services, Blob Storage) for flexibility and high availability. CI/CD pipelines using GitHub Actions and Jenkins automate build, test, and deployment workflows. The system is thoroughly tested using Selenium (UI automation), Postman (API testing), and Jest (unit testing), ensuring robustness and reliability.This unified platform empowers students, educators, and parents by offering intelligent educational assistance, career insights, and progress analytics, driving academic excellence and holistic development.

Authors

Publication Details

Published
2025-05-10
DOI
https://doi.org/10.38124/ijisrt/25apr1980
Primary Topic
Experimental Learning in Engineering
Type
article
Field-Weighted Citation Impact
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article

Envision EdTech: Revolutionizing Intelligent Education through AI and Innovation for a Smarter Tomorrow

Pooja Garai
Experimental Learning in Engineering
article

Envision EdTech: Revolutionizing Intelligent Education through AI and Innovation for a Smarter Tomorrow

Pooja Garai
article en

Abstract

This paper introduces EnvisionEdTech: Revolutionizing Intelligent Education Through AI and Innovation for a Smarter Tomorrow, an advanced AI-powered educational platform that delivers adaptive, inclusive, and interactive learning experiences. The system is architected to integrate core modules such as intelligent lecture summarization using NLP and transformer-based models (BERT, T5), AI-driven career guidance using decision trees, random forests, and K-means clustering on historical academic and aptitude data, and dynamic exam question generation using NLG techniques and Bloom’s Taxonomy classification.The real-time interactive doubt-solving module is powered by WebRTC and Socket.IO, enabling low-latency peer and mentor communication, supported by NLP-based semantic search to suggest relevant content during chats. Virtual science experiments are simulated using 3D libraries (Three.js) and OpenCV, creating immersive, interactive lab experiences. A robust plagiarism detection system leverages semantic similarity comparison using sentence embeddings and cosine similarity via Sentence-BERT and spaCy pipelines.The backend is implemented in Node.js and Express.js, with RESTful APIs and JWT-based authentication for secure, scalable operations. AI services are deployed using TensorFlow, PyTorch, and orchestrated with Docker and Kubernetes for containerized microservices. The frontend is built using React.js for web and React Native for mobile, styled using Tailwind CSS, and follows a responsive, component-based architecture. Real-time data analytics and performance dashboards are powered by Tableau and Power BI, processing data pipelined via Apache Kafka and MongoDB Atlas.Deployment is cloud-agnostic, supporting AWS (S3, EC2, Lambda), GCP (Firebase, BigQuery), and Microsoft Azure (App Services, Blob Storage) for flexibility and high availability. CI/CD pipelines using GitHub Actions and Jenkins automate build, test, and deployment workflows. The system is thoroughly tested using Selenium (UI automation), Postman (API testing), and Jest (unit testing), ensuring robustness and reliability.This unified platform empowers students, educators, and parents by offering intelligent educational assistance, career insights, and progress analytics, driving academic excellence and holistic development.

Openalex Percentile: Top 86%
Experimental Learning in Engineering
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Envision EdTech: Revolutionizing Intelligent Education through AI and Innovation for a Smarter Tomorrow — Pooja Garai · (2025) | TGRS Research Map | TGRS