IntelliVision: An AI-Based FIR Draft Generation System

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@article{1723768,
      author = {Prof. Krupali Dhawale, Payal Chadhokar, Prarthana Shukla, Sakshi Baghel, Vishakha Varani},
      title = {IntelliVision: An AI-Based FIR Draft Generation System},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {4},
      pages = {1066-1075},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1723768.pdf},
      abstract = {IntelliVision is an AI-based FIR draft generation system that processes text, speech, and image-based complaints using OCR, speech recognition, and NLP. It extracts key information, classifies crime types, retrieves similar cases, and generates an AI-assisted FIR draft for officer review. The crime classification module uses TF-IDF and Logistic Regression and achieved 100% test accuracy on a synthetic dataset of 515 complaints. The system aims to reduce documentation effort and improve the consistency of FIR preparation.},
      keywords = {artificial intelligence; FIR draft generation; legal NLP; named entity recognition; OCR; speech recognition; information extraction; large language models; human-in-the-loop},
      month = {October},
  }