Lernova

Authors

  • K Shireesha Associate Professor, Department of Computer Science and Engineering. Bhoj Reddy Engineering College for Women, Hyderabad, India. Author
  • V Sravani Reddy,R Srihitha,K Srimythri Gupta B.tech Students, Bhoj Reddy Engineering College for Women Department of Computer Science and Engineering, Hyderabad, India. Author

DOI:

https://doi.org/10.62647/

Keywords:

Artificial Intelligence, Personalized Learning, Career Guidance System, Digital Footprint Analysis, Machine Learning, Gemini AI, Firebase, React.js, Python Flask, API Integration, Skill Identification, Learning Analytics, Recommendation System, Intelligent Mentoring, Cloud-Based Application, Data-Driven Learning, User Behavior Analysis, Career Prediction, EdTech Platform, Progress Tracking

Abstract

Lernova is an intelligent and AI-powered career guidance and personalized learning platform designed to help users discover their skills, interests, and suitable career paths by analyzing their digital footprint. The system integrates data from multiple platforms such as YouTube, GitHub, Reddit, Instagram, and documents to understand users’ learning patterns and preferences. Using advanced technologies like Gemini AI, Firebase, and API integrations, Lernova generates personalized learning insights, career recommendations, and structured learning roadmaps. The platform also provides an interactive dashboard where users can track their progress, learn directly through curated resources, and earn certifications. Additionally, an AI mentor assists users with guidance, while an admin module ensures efficient system monitoring and management. Built using React.js for the frontend and Python Flask for backend processing, Lernova offers a scalable and user-friendly experience. By combining AI-driven analysis with personalized education, Lernova enhances skill development, reduces learning gaps, and supports users in achieving their career goals effectively.

Downloads

Download data is not yet available.

Downloads

Published

26-03-2026

How to Cite

Lernova. (2026). International Journal of Information Technology and Computer Engineering, 14(1), 656-664. https://doi.org/10.62647/

Similar Articles

1-10 of 1356

You may also start an advanced similarity search for this article.