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@article{196395,
        author = {Shravani G. Saratkar and Prof. Shailesh S.Dhok and Samiksha A. Buttekar and Ashlesha A. Ramteke and Harshal A. Bhute},
        title = {Research It: An Artificial Intelligence Powered Framework for Automated Research Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {3148-3154},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196395},
        abstract = {The explosive proliferation of the academic literature has rendered the manual literature review process more cumbersome and inefficient, particularly to the novice researchers and the interdisciplinary ones. Its ability to find relevant research themes, emerging trends and possible gaps in research research in massive academic collections remains a significant challenge. In the paper, the author presents ReSearchIt, an intelligence system based on AI to automate the analysis of the literature and help explore the research better. The system downloads academic publications available in openaccess repositories and creates a systematic collection based on titles and abstracts. It is based on transformer-based semantic embeddings and embedding-based topic modeling to rank research papers into thematic groups. In order to generate reliable insights, the system incorporates retrieval-augmented generation (RAG) to generate context-sensitive literature summaries, research gap clarifications, and future research recommendations on the basis of collected scholarly data. It also brings in the analysis of the temporal trend to examine the evolution of research topics. Experimental findings indicate that ReSearchIt is useful in reducing the manual labor in early-stage literature reviews and enhancing the knowledge of themes, research gaps, and awareness of trends. The database is an intelligent research assistant that assists the human decisionmaking and does not take its place, making the research planning in academia efficient and organized.},
        keywords = {Research Intelligence, Automated Literature Review, Topic Modeling, Semantic Embeddings, RetrievalAugmented Generation, Research Gap Identification.},
        month = {April},
        }