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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
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| Paper Title: | Ai based content analysis |
| Authors Name: | Potru Sandhya Priya , Mazid Mohammad , Syama Chandrika Manthri |
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IJRTI_202490
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| Published Paper Id: | IJRTI2504159 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | —In today's digital age, research documents are growing in number and complexity, making it challenging to quickly retrieve relevant information. This paper presents a hybrid AI pipeline designed for real-time semantic query processing in research documents. The pipeline combines advanced natural language processing (NLP) techniques with vector-based search for efficient and accurate information retrieval.First, text is extracted from PDF files and divided into manageable chunks using overlapping segmentation. These chunks are transformed into semantic embeddings using pre trained models like Sentence Transformers, which capture the meaning of the text. These embeddings are stored in a high speed vector database, FAISS, enabling similarity-based searches. When a user inputs a query, the system encodes it into an embedding and compares it with the stored embeddings to find the most relevant text.The approach ensures that the retrieval process is both fast and context-aware, even for large, unstructured documents. The pipeline is scalable, allowing it to handle extensive datasets efficiently. By integrating semantic understanding and real-time processing, this system provides researchers with a powerful tool for quickly accessing critical information. This work highlights the potential of AI-driven solutions in streamlining knowledge discovery and improving research productivity. |
| Keywords: | .Semantic Query Processing,Natural Language Processing (NLP),Sentence TransformersFAISS (Facebook AI Similarity Search),Semantic Embeddings |
| Cite Article: | "Ai based content analysis", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b504-b509, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504159.pdf |
| Downloads: | 000355 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2504159
Registration ID:202490
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b504-b509 Country: Gudivada, Andhra Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504159 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504159 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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