Ziga Inc seeks to develop an AI-Driven Survey Sentiment Analyzer that leverages basic natural language processing (NLP) techniques to analyze survey responses. The primary goal is to extract sentiment from textual data while ensuring privacy and ethical considerations are met. This project will enable Ziga Inc to gain valuable insights into customer feedback and improve decision-making processes. The tool should be user-friendly and integrate seamlessly with existing data systems. Learners will apply classroom knowledge of NLP, data privacy, and ethical AI practices to create a functional prototype. The project will focus on developing a solution that is efficient, accurate, and respects user privacy.

The deliverables for this project include a functional prototype of the AI-Driven Survey Sentiment Analyzer, complete with a user interface for inputting survey data and viewing sentiment analysis results. Additionally, documentation detailing the NLP techniques used, privacy measures implemented, and ethical considerations addressed will be provided. The project will culminate in a presentation demonstrating the tool's capabilities and its integration with existing systems.