Deep Survey: Leveraging Neural Networks for Sentiment Analysis, Summarization, & Engagement 

My capstone project transforms hotel survey responses into actionable business intelligence through advanced Natural Language Processing (NLP). By applying sentiment analysis, text summarization, and automated response generation, the system uncovers hidden patterns in guest feedback that traditional manual reviews often overlook. It converts qualitative survey comments into structured insights, revealing customer satisfaction trends and operational inconsistencies. The summarization engine distills large volumes of feedback into concise, manager-friendly snapshots, while the auto-reply module delivers timely, personalized communication aligned with feedback themes. Ultimately, this solution enhances guest satisfaction and empowers hotel operations with data-driven precision.