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- Vol. 6 Issue 2
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An AI-Driven Smart notes Management System – Note genius AI
Authors
1 Assistant Professor, Department of Information Technology, Rathinam Technical Campus, Eachanari, Coimbatore, Tamilnadu, India 2 3 4 5 Department of Information Technology, Rathinam Technical Campus, Eachanari, Coimbatore, Tamilnadu, India
Article Information
- Published In
- Volume 6, Issue 2 (2026)
- Published Online
- March-April 2026
- Pages
- 185-189
- Article Type
- Original Article
- Check for updates
-
References
1. Zhang, Y., Sun, S., Galley, M., Chen, Y.C., Brockett, C., Gao, X., & Dolan, B. (2020). DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation. ACL 2020. Supports AI chatbot design for interactive note querying in Note Genius AI.
2. He, P., Liu, X., Gao, J., & Chen, W. (2021). DeBERTa: Decoding-enhanced BERT with Disentangled Attention. ICLR 2021. Provides an improved transformer model for keyword extraction and semantic understanding in Note Genius AI.
3. Zhang, J., Zhao, Y., Saleh, M., & Liu, P. (2020). PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization. ICML 2020. Underpins the automated lecture summarization module in Note Genius AI.
4. OpenAI (2023). GPT-4 Technical Report. arXiv:2303.08774. Supports advanced text generation, multi- turn question answering, and contextual note interaction in Note Genius AI.
5. Radford, A., Kim, J.W., Xu, T., Brockman, G., McLeavey, C., & Sutskever, I. (2023). Robust Speech Recognition via Large-Scale Weak Supervision (Whisper). ICML 2023. Provides the high-accuracy speech-to-text engine for live lecture transcription in Note Genius AI.
6. Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., & Kiela, D. (2020). Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. NeurIPS 2020. Supports the RAG-based AI chatbot architecture for grounded, context-aware responses from stored notes.
7. Grootendorst, M. (2022). BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv:2203.05794. Enables dynamic topic detection and note clustering for organized study material generation.
8. Ni, J., Abrego, G.H., Constant, N., Ma, J., Hall, K., Cer, D., & Yang, Y. (2022). Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models. ACL Findings 2022. Provides state-of-the-art sentence embeddings for semantic search and note similarity ranking.
9. Touvron, H., Lavril, T., Izacard, G., Martinet, X., Lachaux, M.A., Lacroix, T., & Lample, G. (2023). LLaMA: Open and Efficient Foundation Language Models. arXiv:2302.13971. Supports on-device and offline AI inference for personalized study assistance in Note Genius AI.
10. Wang, S., Zhao, Z., Ouyang, X., Wang, Q., & Shen, D. (2023). ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models. arXiv:2302.07257. Demonstrates AI-powered interactive Q&A from domain-specific documents, directly applicable to Note Genius AI’s chatbot design.
2. He, P., Liu, X., Gao, J., & Chen, W. (2021). DeBERTa: Decoding-enhanced BERT with Disentangled Attention. ICLR 2021. Provides an improved transformer model for keyword extraction and semantic understanding in Note Genius AI.
3. Zhang, J., Zhao, Y., Saleh, M., & Liu, P. (2020). PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization. ICML 2020. Underpins the automated lecture summarization module in Note Genius AI.
4. OpenAI (2023). GPT-4 Technical Report. arXiv:2303.08774. Supports advanced text generation, multi- turn question answering, and contextual note interaction in Note Genius AI.
5. Radford, A., Kim, J.W., Xu, T., Brockman, G., McLeavey, C., & Sutskever, I. (2023). Robust Speech Recognition via Large-Scale Weak Supervision (Whisper). ICML 2023. Provides the high-accuracy speech-to-text engine for live lecture transcription in Note Genius AI.
6. Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., & Kiela, D. (2020). Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. NeurIPS 2020. Supports the RAG-based AI chatbot architecture for grounded, context-aware responses from stored notes.
7. Grootendorst, M. (2022). BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv:2203.05794. Enables dynamic topic detection and note clustering for organized study material generation.
8. Ni, J., Abrego, G.H., Constant, N., Ma, J., Hall, K., Cer, D., & Yang, Y. (2022). Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models. ACL Findings 2022. Provides state-of-the-art sentence embeddings for semantic search and note similarity ranking.
9. Touvron, H., Lavril, T., Izacard, G., Martinet, X., Lachaux, M.A., Lacroix, T., & Lample, G. (2023). LLaMA: Open and Efficient Foundation Language Models. arXiv:2302.13971. Supports on-device and offline AI inference for personalized study assistance in Note Genius AI.
10. Wang, S., Zhao, Z., Ouyang, X., Wang, Q., & Shen, D. (2023). ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models. arXiv:2302.07257. Demonstrates AI-powered interactive Q&A from domain-specific documents, directly applicable to Note Genius AI’s chatbot design.
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