AI Bot-Based Feedback Analysing System for Ujjwala Gas Yojana for Rural Region

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Ashwini Laxmanrao Namde, Tukaram K. Gawali, Jyoti Sahdeo Wakode, Vaishali Ramdas Hajare

Abstract

The Pradhan Mantri Ujjwala Yojana (PMUY) has significantly transformed access to clean cooking fuel in rural India. Yet, sustaining its long-term success demands an intelligent feedback mechanism to understand usage patterns, address distribution challenges, and monitor beneficiary satisfaction. This paper proposes an AI bot-based feedback analyzing system that uses advanced technologies like Natural Language Processing (NLP), sentiment analysis, and multilingual AI chatbots/voice bots. The goal is to gather real-time user feedback, especially from underserved populations, to improve policymaking and implementation. This work includes an exhaustive literature survey, identifies key research gaps, proposes a robust methodology, presents detailed analysis and discussion of experimental results, and concludes with policy implications and recommendations for future work.

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