Justice : A Predicting Criminal Acts According To IPC Section Article Swipe
Gaurav Varshney
,
Modi Manankumar R
,
Rajesh Maheshwari
,
Tirth Chhabhaiya Chhabhaiya
,
Bikram Kumar
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.32628/cseit2490215
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.32628/cseit2490215
The AI-driven IPC Section Prediction for Crime Classification project is a groundbreaking initiative with far- reaching implications for the legal and law enforcement sectors in India. Traditional crime classification and the assignment of the appropriate IPC section are often time-consuming and prone to human error. Our web application addresses these challenges by offering an efficient, accurate, and user-friendly solution. One of the key strengths of our application lies in its adaptability. It can process a wide range of crime descriptions, including those involving complex legal language or colloquial terms, ensuring its utility in diverse scenarios. Additionally, our system is designed to continuously learn and evolve. It adapts to changes in legal terminology, updates in the IPC, and emerging crime trends, thereby maintaining its relevance and precision over time. The social impact of this project cannot be overstated. By streamlining crime classification, it empowers law enforcement agencies to allocate resources more efficiently and prioritize cases based on severity and relevance. It also aids legal professionals by expediting case preparation and documentation. Moreover, it facilitates greater public engagement with the legal system, enabling citizens to better understand and navigate the complexities of the IPC. In conclusion, our AI-driven IPC Section Prediction web application is a pioneering tool that has the potential to revolutionize crime classification and legal processes. Its adaptability, continuous improvement, and positive societal impact make it an asset for law enforcement, legal practitioners, and the general public alike.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.32628/cseit2490215
- https://ijsrcseit.com/index.php/home/article/download/CSEIT2490215/CSEIT2490215
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All OpenAlex metadata
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Justice : A Predicting Criminal Acts According To IPC SectionWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-03-12Full publication date if available
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Gaurav Varshney, Modi Manankumar R, Rajesh Maheshwari, Tirth Chhabhaiya Chhabhaiya, Bikram KumarList of authors in order
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https://doi.org/10.32628/cseit2490215Publisher landing page
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diamondOpen access status per OpenAlex
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Law enforcement, Relevance (law), Criminal justice, Computer science, Adaptability, Documentation, Computer security, Knowledge management, Political science, Law, Ecology, Programming language, BiologyTop concepts (fields/topics) attached by OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.societal | 222 |
| abstract_inverted_index.AI-driven | 1, 195 |
| abstract_inverted_index.Moreover, | 170 |
| abstract_inverted_index.accurate, | 55 |
| abstract_inverted_index.addresses | 48 |
| abstract_inverted_index.including | 80 |
| abstract_inverted_index.involving | 82 |
| abstract_inverted_index.potential | 208 |
| abstract_inverted_index.precision | 125 |
| abstract_inverted_index.relevance | 123 |
| abstract_inverted_index.resources | 148 |
| abstract_inverted_index.solution. | 58 |
| abstract_inverted_index.strengths | 63 |
| abstract_inverted_index.Prediction | 4, 198 |
| abstract_inverted_index.assignment | 31 |
| abstract_inverted_index.challenges | 50 |
| abstract_inverted_index.colloquial | 87 |
| abstract_inverted_index.continuous | 218 |
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| abstract_inverted_index.prioritize | 152 |
| abstract_inverted_index.processes. | 215 |
| abstract_inverted_index.relevance. | 158 |
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| abstract_inverted_index.overstated. | 136 |
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| abstract_inverted_index.enforcement, | 230 |
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| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.7799999713897705 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
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| citation_normalized_percentile.is_in_top_10_percent | True |