- Wednesday, Oct 29th, 2025
International Journal of Advanced Research in Arts, Science, Engineering & Management (IJARASEM)
(A High Impact Factor, Monthly, Peer Reviewed Journal)
(A High Impact Factor, Monthly, Peer Reviewed Journal)
| TITLE | AI Resume Scanner using Python Flask |
|---|---|
| ABSTRACT | In the context of modern data science, the efficient and accurate transformation of vast, heterogeneous, and unstructured data into a structured, labelled format is a critical bottleneck. This paper presents an Intelligent Content Summarization and Topic-Based Labelling system, formally titled the AI Resume Scanner, which automates this process. The solution is implemented as a web-based application utilizing the Flask framework for the backend and integrating Google Generative AI (GenAI) as its core intelligence engine. The system supports multiple input modalities, including text documents (PDF, DOCX, TXT) and multimedia (video), through sophisticated file handling and transcription modules. By allowing users to define a specific topic or context, the GenAI models are dynamically prompted to generate concise, context-aware summaries and structured, semantic labels tailored to the user's domain. This methodology significantly reduces the manual effort, time, and inconsistency associated with traditional data annotation and preprocessing workflows, providing a highly scalable and accessible tool for researchers, educators, and developers in their pursuit of actionable insights and robust dataset generation. |
| AUTHOR | A Nandhini1, Nithinkrishna M2 Assistant Professor, Department of Computer Applications, Nehru College of Management, Coimbatore, Tamil Nadu, India Student of II MCA, Department of Computer Applications, Nehru College of Management, Coimbatore, Tamil Nadu, India |
| PUBLICATION DATE | 2025-10-27 |
| VOLUME | 12 |
| ISSUE | 5 |
| 22_AI Resume Scanner using Python Flask.pdf | |
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