ARCHIVES
Original Article
Docu Mind AI – Intelligent Document Analysis System
Abdullah Shariff Asad1
Fatima Maryam Khan2
1Student, MCA Deccan College of Engineering and Technology, Hyderabad, Telangana, India. 2Assistant Professor, MCA Deccan College of Engineering and Technology, Hyderabad, Telangana, India.
Published Online: September-December 2025
Pages: 06-11
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250403002
References
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3. P. Lewis, E. Perez, A. Piktus et al., “Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks,” in Proc. NeurIPS, 2020.
4. A. Vaswani, N. Shazeer, N. Parmar et al., “Attention is All You Need,” in Proc. NeurIPS, 2017, pp. 5998–6008.
5. S. Johnson, “Natural Language Processing with Python,” O’Reilly Media, 2019.
6. J. K. Gupta and R. Kumar, “Advances in OCR Technology for Document Digitization,” IEEE Access, vol. 8, pp. 12345–12358, 2020.
7. H. Zhang, X. Chen, and Y. Li, “Document Summarization using Transformer-based Architectures,” in Proc. ACL, 2021, pp. 567–578.
8. R. Lowe, “Applications of AI in Legal Document Analysis,” Journal of Information Systems, vol. 35, no. 4, pp. 54–63, 2020.
9. OpenAI, “GPT-3: Language Models are Few-Shot Learners,” arXiv preprint arXiv: 2005.14165, 2020.
10. H. Schwenk et al., “FAISS: A Library for Efficient Similarity Search,” Facebook AI Research, 2019.
2. J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,” in Proc. NAACL-HLT, 2019, pp. 4171–4186.
3. P. Lewis, E. Perez, A. Piktus et al., “Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks,” in Proc. NeurIPS, 2020.
4. A. Vaswani, N. Shazeer, N. Parmar et al., “Attention is All You Need,” in Proc. NeurIPS, 2017, pp. 5998–6008.
5. S. Johnson, “Natural Language Processing with Python,” O’Reilly Media, 2019.
6. J. K. Gupta and R. Kumar, “Advances in OCR Technology for Document Digitization,” IEEE Access, vol. 8, pp. 12345–12358, 2020.
7. H. Zhang, X. Chen, and Y. Li, “Document Summarization using Transformer-based Architectures,” in Proc. ACL, 2021, pp. 567–578.
8. R. Lowe, “Applications of AI in Legal Document Analysis,” Journal of Information Systems, vol. 35, no. 4, pp. 54–63, 2020.
9. OpenAI, “GPT-3: Language Models are Few-Shot Learners,” arXiv preprint arXiv: 2005.14165, 2020.
10. H. Schwenk et al., “FAISS: A Library for Efficient Similarity Search,” Facebook AI Research, 2019.
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