EduSphere AI: An AI-Powered Study Tutor, Speech Lab, Smart Planner, and Project Studio

Author

Mr. KSP. Madhan, Mr. Krishna Prakash S

Abstract

 EduSphere AI is an AI-powered intelligent learning platform designed to provide personalized academic assistance, communication skill development, academic planning, and project management support within a unified educational ecosystem. Traditional educational applications primarily focus on content delivery, online assessments, or individual learning activities. They often provide limited personalization and require students to use multiple platforms for different academic needs. EduSphere AI addresses these limitations by integrating an AI Study Tutor, Speech Lab, Smart Planner, and Project Studio into a single platform. The system leverages Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and speech recognition technologies to deliver adaptive and personalized educational services. The AI Study Tutor provides instant doubt clarification, concept explanations, quiz generation, and learning recommendations tailored to student performance.

Keywords

Artificial Intelligence, Retrieval-Augmented Generation, Large Language Model, Machine Learning, FastAPI, PostgreSQL, Gemini, ChromaDB, Educational Technology.

Full Text:

Download Paper PDF

References

[1] K. VanLehn, “The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems,” Educational Psychologist, vol. 46, no. 4, pp. 197–221, 2011.

[2] A. Vaswani et al., “Attention Is All You Need,” Advances in Neural Information Processing Systems (NeurIPS), 2017. Available: https://arxiv.org/abs/1706.03762

[3] T. Brown et al., “Language Models are Few-Shot Learners,” Advances in Neural Information Processing Systems (NeurIPS), 2020. Available: https://arxiv.org/abs/2005.14165

[4] N. Reimers and I. Gurevych, “Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks,” Proceedings of EMNLP-IJCNLP, 2019. Available: https://aclanthology.org/D19-1410/

[5] Google, “Gemini API Documentation.” Available: https://ai.google.dev/gemini-api/docs

[6] FastAPI, “FastAPI Documentation.” Available: https://fastapi.tiangolo.com/

[7] PostgreSQL Global Development Group, “PostgreSQL Documentation.” Available: https://www.postgresql.org/docs/

[8] React Team, “React Documentation.” Available: https://react.dev/

[9] M. Mohri, A. Rostamizadeh, and A. Talwalkar, Foundations of Machine Learning, MIT Press, 2018.

[10] D. Jurafsky and J. H. Martin, Speech and Language Processing, 3rd Edition, Stanford University, 2023. Available: https://web.stanford.edu/~jurafsky/slp3/

[11] Scikit-Learn Developers, “Scikit-learn Documentation.” Available: https://scikit-learn.org/

[12] Docker Inc., “Docker Documentation.” Available: https://docs.docker.com/

[13] J. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 4th Edition, Pearson Education, 2020.

[14] M. Wooldridge, Artificial Intelligence: A Modern Approach to Intelligent Systems, Oxford University Press, 2021.

[15] Web Speech API Community Group, “Web Speech API Specification.” Available: https://wicg.github.io/speech-api/

Share your valuable work from Social Media Buttons