Ziga Inc Android App Feature Enhancement

Ziga Inc is seeking to enhance its existing Android application to improve user experience and functionality. The current app, while functional, lacks certain features that could significantly boost user engagement and satisfaction. The goal of this project is to identify and implement key enhancements that align with user needs and industry standards. The project will focus on improving the app's user interface, adding new features, and optimizing performance. Learners will have the opportunity to apply their knowledge of Android development, user experience design, and software optimization. The tasks will include conducting a brief user feedback analysis, designing feature prototypes, and implementing changes in the app's codebase. This project aims to provide a practical experience in app development and enhancement, preparing learners for real-world challenges in the tech industry.

Organizational Environment Analysis for Ziga Inc

Ziga Inc seeks to understand the various internal and external factors influencing its operations to enhance strategic decision-making. This project involves a comprehensive analysis of the organization's environment, focusing on identifying strengths, weaknesses, opportunities, and threats (SWOT). Learners will apply theoretical knowledge from their coursework to evaluate Ziga Inc's internal resources, capabilities, and culture, as well as external factors such as market trends, competition, and regulatory changes. The goal is to provide Ziga Inc with actionable insights that can inform future strategies and improve organizational performance. The project will be structured into closely related tasks, ensuring a focused and cohesive analysis.

User-Centric Recommendation System Design

Ziga Inc is seeking to enhance its user experience by developing a recommendation system that leverages user data to provide personalized content suggestions. The goal of this project is to design a prototype recommendation system that can analyze user behavior and preferences to deliver tailored recommendations. This project will allow learners to apply their knowledge of data analysis, machine learning algorithms, and software development. The system should be capable of processing user data, identifying patterns, and suggesting relevant content. The project will focus on creating a scalable and efficient system that can be integrated into Ziga Inc's existing platform. Learners will work collaboratively to ensure the system meets the specified requirements and provides accurate recommendations.

AI-Driven Survey Sentiment Analyzer

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.