International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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AI Revolution in Exit Polls: Enhancing Accuracy, Efficiency, and Inclusivity

Author(s) Sanat Popli
Country India
Abstract Exit polls have long been integral to understanding electoral dynamics, offering insights into voter behavior and preferences. Traditional exit poll methodologies, involving manual data collection and in-person interviews, face significant challenges in accuracy, sample size, and inclusivity. This paper explores the transformative impact of Artificial Intelligence (AI) on the exit polling process. By leveraging neural networks for enhanced sampling, employing automated Voice-AI for data collection, and utilizing Natural Language Processing (NLP) for real-time data analysis, AI significantly improves the efficiency, accuracy, and inclusivity of exit polls. The paper discusses the technical aspects of implementing AI-driven exit polls, including the architecture of neural networks, real-time data processing systems, and machine learning models for prediction. Additionally, it addresses the advantages of AI, such as cost-effectiveness and reduced human biases, while acknowledging challenges like algorithmic bias, privacy concerns, and the complexities of accurately interpreting voter behavior. As AI continues to evolve, it promises to further enhance the reliability and comprehensiveness of exit polls, providing valuable tools for understanding public opinion in democratic processes
Keywords AI,Neural Network,Natural language processing
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-06-27
Cite This AI Revolution in Exit Polls: Enhancing Accuracy, Efficiency, and Inclusivity - Sanat Popli - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.23523
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.23523
Short DOI https://doi.org/gt24xd
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