标题： Nyay-Darpan：通过摘要和案例检索增强印度消费者法中的决策制定 显示英文标题

标题： Nyay-Darpan: Enhancing Decision Making Through Summarization and Case Retrieval for Consumer Law in India

摘要： 基于人工智能的司法辅助和案件预测在刑事和民事领域已被广泛研究，但在消费者法领域，尤其是在印度，仍大多未被探索。 在本文中，我们提出了Nyay-Darpan，一种创新的双功能框架，(i)总结消费者案件文件，(ii)检索相似的案件判决，以协助消费者纠纷解决中的决策。 我们的方法不仅填补了消费者法律人工智能工具的空白，还引入了一种创新的方法来评估摘要的质量。 “Nyay-Darpan”一词翻译为“正义之镜”，象征着我们的工具通过精确的摘要和智能的案件检索来反映消费者纠纷的核心。 我们的系统在相似案件预测中的准确率超过75%，在材料摘要评估指标中的准确率约为70%，证明了其实际有效性。 我们将公开发布Nyay-Darpan框架和数据集，以促进可重复性和推动这一尚未充分探索但影响深远的领域的进一步研究。 显示英文摘要

摘要： AI-based judicial assistance and case prediction have been extensively studied in criminal and civil domains, but remain largely unexplored in consumer law, especially in India. In this paper, we present Nyay-Darpan, a novel two-in-one framework that (i) summarizes consumer case files and (ii) retrieves similar case judgements to aid decision-making in consumer dispute resolution. Our methodology not only addresses the gap in consumer law AI tools but also introduces an innovative approach to evaluate the quality of the summary. The term 'Nyay-Darpan' translates into 'Mirror of Justice', symbolizing the ability of our tool to reflect the core of consumer disputes through precise summarization and intelligent case retrieval. Our system achieves over 75 percent accuracy in similar case prediction and approximately 70 percent accuracy across material summary evaluation metrics, demonstrating its practical effectiveness. We will publicly release the Nyay-Darpan framework and dataset to promote reproducibility and facilitate further research in this underexplored yet impactful domain.