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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM65094

AI File Assistant with Smart Chart

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM65094

Volume:

10 |

6 |

Jun 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.

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Authors

KP

Krushnal Patil

Information Technology

NBN Sinhgad School of Engineering Pune

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BP

Bhupesh Patil

Information Technology

NBN Sinhgad School of Engineering Pune

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SD

Shubham Deore

Information Technology

NBN Sinhgad School of Engineering Pune

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Mentors

PRS

Prof. R.M. Samant

Information Technology

NBN Sinhgad School of Engineering Pune

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Abstract

AI File Assistant with Smart Chart is an intelligent document management and analysis system designed to help users efficiently organize, analyze, and extract insights from various digital files. The primary objective of this project is to provide a smart platform that enables users to upload documents, retrieve relevant information through natural language queries, generate automated summaries, and visualize extracted data using interactive charts. The system integrates Artificial Intelligence and Natural Language Processing (NLP) techniques to understand document content and deliver accurate responses based on user requests. The Smart Chart module automatically converts structured data into meaningful visual representations, allowing users to identify trends, patterns, and key insights effectively. The application is developed using modern web technologies, including ReactJS for the frontend interface, Python-based AI services for document processing and analysis, and a database system for secure data storage and retrieval. Key features of the system include intelligent file search, AI-powered question answering, document summarization, keyword extraction, data visualization, and interactive chart generation. The implementation of the proposed system reduces manual effort in document analysis, improves information accessibility, and enhances decision-making through automated insights and visual analytics. Experimental evaluation demonstrates improved efficiency in document retrieval, faster information extraction, and enhanced user experience through intelligent assistance and real-time chart generation. The study concludes that AI File Assistant with Smart Chart provides a reliable, scalable, and user-friendly solution for intelligent document management and data-driven analysis in academic, business, and organizational environments.

KEYWORDS

Artificial Intelligence File Assistant Natural Language Processing Smart Charts Data Visualization

Cite This Article

Krushnal Patil, Bhupesh Patil, Shubham Deore, Prof. R.M. Samant, "AI File Assistant with Smart Chart," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-5, Jun 2026.

Full Article/Conclusion

This research work developed an AI-powered document management and analysis system, namely AI File Assistant with Smart Chart, to improve the efficiency of document processing, information retrieval, and data visualization. The proposed system integrates Artificial Intelligence, Natural Language Processing (NLP), semantic search, and smart chart generation techniques to provide intelligent assistance for analyzing and understanding digital documents. The implementation of AI-based document processing enables efficient text extraction, document summarization, keyword identification, and context-aware question answering. The integration of Large Language Models (LLMs) and semantic search mechanisms significantly improves the accuracy and relevance of information retrieval compared to traditional keyword-based search approaches. Furthermore, the Smart Chart module automatically transforms extracted data into interactive visualizations, allowing users to identify trends, patterns, and insights more effectively. Overall, the proposed AI File Assistant with Smart Chart system offers a reliable and intelligent solution for document management, knowledge extraction, and data-driven decision-making. The system can be effectively utilized in academic, business, research, and organizational environments where efficient document analysis and visualization are essential.

References

[1]      Tom M. Mitchell, Machine Learning, McGraw-Hill Education, New York, 1997.   [2]      Ian Goodfellow, Yoshua Bengio, and Aaron Courville, Deep Learning, MIT Press, Cambridge, Massachusetts, 2016.   [3]      Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova, “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,” Proceedings of NAACL-HLT, 2019.   [4]      OpenAI, “GPT Models and Large Language Models Documentation,” Available: https://platform.openai.com/docs   [5]      Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press, 2008.   [6]      Daniel Jurafsky and James H. Martin, Speech and Language Processing, Pearson Education, 3rd Edition, 2023.   [7]      React Documentation, Meta Platforms Inc., Available: https://react.dev/   [8]      Python Software Foundation, “Python Documentation,” Available: https://docs.python.org/3/   [9]      LangChain Documentation, Available: https://python.langchain.com/docs/   [10]     ChromaDB Documentation, Available: https://docs.trychroma.com/  

Editorial & Review Transparency

Publication Date

6/18/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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

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