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Aryan Gupta

Student at Jaypee In... • 27d

In today’s digital-first world, businesses are overwhelmed by the volume of customer reviews pouring in from multiple platforms. These reviews are crucial for brand reputation, customer retention, and service improvement—but managing them manually is time-consuming, expensive, and error-prone. Most businesses either fail to respond promptly or provide inconsistent replies, which damages customer trust. Additionally, reviews are written in various languages, making it difficult for businesses to understand and respond effectively without a multilingual support team. Spam reviews further clutter the feedback pipeline, wasting time and resources. Existing sentiment analysis tools only classify reviews but do not provide intelligent, actionable solutions. There is a clear need for an automated, AI-driven system that not only understands sentiment and emotion in reviews but also generates personalized responses, filters spam, detects duplicates, and overcomes language barriers—saving time, protecting brand integrity, and enhancing customer satisfaction.

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