Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM61990

Fornova: An Intelligent Multi-Domain Document Processing and Analysis System Using AI

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM61990

Volume:

10 |

4 |

April 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

SSK

Shrihari Suresh Kasar

Computer Engineering

Matoshri College of Engineering and Research Centre, Nashik, Maharashtra, India.

Download Author Certificate
UBK

Utkarsha Bajirao Kakulte

Computer Engineering

Matoshri College of Engineering and Research Centre, Nashik, Maharashtra, India.

Download Co-Author Certificate
RPK

Rohit Pramod Khadangle

Computer Engineering

Matoshri College of Engineering and Research Centre, Nashik, Maharashtra, India.

Download Co-Author Certificate
ISG

Ishwari Sandip Gamne

Computer Engineering

Matoshri College of Engineering and Research Centre, Nashik, Maharashtra, India.

Download Co-Author Certificate

Mentors

RDB

Rohini D. Bhaskar

Computer Engineering

Matoshri College of Engineering and Research Centre, Nashik, Maharashtra, India.

Download Mentor Certificate

Author Services & Downloads

Full ArticlesAcceptance Certificate

Abstract

Abstract - This paper represents FORNOVA, an AI-powered document automation platform developed to efficiently process, organize, and analyze large volumes of unstructured data across multiple domains such as healthcare, finance, education, legal, industrial, and human resources. The system supports document uploads in formats like PDFs and images and extracts structured information using a hybrid approach combining rule-based parsing and AI techniques. Key data fields are presented with confidence scores to ensure reliability and transparency. It also provides validation checks and risk indicators for better analysis. A domain-specific dashboard displays performance metrics, while role-based access control enables document review and approval. The platform enhances efficiency, reduces manual effort, and supports data-driven decision-making for small and medium enterprises effectively.

KEYWORDS

Key Words: AI Document Processing Document Automation Information Extraction Flask MySQL Data Analytics OCR Domain-Based Systems Intelligent Systems Data Visualization

Cite This Article

Shrihari Suresh Kasar, Utkarsha Bajirao Kakulte, Rohit Pramod Khadangle, Ishwari Sandip Gamne, Rohini D. Bhaskar, "Fornova: An Intelligent Multi-Domain Document Processing and Analysis System Using AI," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 4, pp. 1-5, April 2026.

Full Article/Conclusion

Fornova is a comprehensive document automation system that integrates user management, document processing, analytics, and export functionalities into a single platform. The system successfully automates the extraction and analysis of data from various document types, reducing manual workload and improving efficiency. The modular architecture ensures flexibility and scalability, allowing easy integration of advanced AI models in the future. The system provides a user-friendly interface along with powerful backend processing, making it suitable for both technical and non-technical users.

References

[1]   N. Gupta, A. Sharma, ”Intelligent Document Processing using AI and NLP,” Inter national Journal of Computer Applications, vol. 182, no. 25, 2020. [2]   R. Kumar, S. Verma, ”OCR and Machine Learning Techniques for Document Automation,” IEEE Access, vol. 8, pp. 14567–14576, 2020. [3]    PlantUML Documentation: https://plantuml.com/. [4]   M. Singh, ”Natural Language Processing for Automated Data Extraction,”Journal of AI Research, vol. 7, pp. 55–68, 2019. [5]   A. Joshi, ”AI-driven Document Management Systems: A Survey,”International Conference on Computing and Communication Technologies, 2021. [6]   R. Smith, “An Overview of the Tesseract OCR Engine,” Proc. ICDAR, pp. 629–633, 2007. [7]   J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova, “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,” NAACL, 2019. [8]   A. Vaswani et al., “Attention Is All You Need,” Advances in Neural Information Processing Systems (NeurIPS), 2017. [9]   Google Document AI, Google Cloud, 2023. [10]       Amazon Textract, Amazon Web Services, 2023. [11]       Microsoft Azure Form Recognizer, Microsoft, 2023. [12]       T. Kieninger and A. Dengel, “Applying the Tesseract OCR Engine for Document Analysis,” Document Analysis Systems, 1998. [13]       D. Jurafsky and J. H. Martin, Speech and Language Processing, Pearson, 2020. [14]       I. Goodfellow et al., “Generative Adversarial Networks,” NeurIPS, 2014. [15]       S. Bird, E. Klein, and E. Loper, Natural Language Processing with Python, O’Reilly, 2009.

Editorial & Review Transparency

Publication Date

4/30/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

3

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...