Chat Function - App Design & Implementation

Our company advertises thousands of products online. However, we currently rely on slow modes of communication with our customers. Users have requested the functionality to contact sellers directly via a real-time chat function. We would like to work with students to create a general chat application that can be easily ported to any other existing system. This will involve several different steps for the students, including: Researching technologies being used for chat applications. Selecting the best technologies for creating a real-time application. Producing a wireframe or mock-up of the resulting system’s user interface. Creating a product roadmap for the system and an implementation plan detailing possible interactions with the system. Bonus steps in the process would also include: Developing an artificial intelligence chatbot.

Podcast Production

Since podcasts are becoming an increasingly popular content medium, our company hopes to capitalize on this by creating our own. In this project, students will collaborate with us to take advantage of trending media and create a season of our own podcast. We would like students to deliver a 5-episode podcast series based on our company’s nice to resonate with our target audience. This will involve several different steps for the students, including: Collaborating with the project manager to form a name and a theme for the podcast, and a topic for each episode. Script various components of each podcast episode such as the introduction, welcome, call to action, and outro. Create cover art for the podcast. Research and plan what will be discussed on an episode-by-episode basis. Record and edit each episode. Facilitating special guest appearances in one or more episodes.

AI-Driven Personalized Learning Prototype

The project aims to design and develop an artificial intelligence prototype that enhances personalized and adaptive learning experiences for certification exam preparation. Dazia Consulting Inc. seeks to revolutionize educational technology by leveraging AI to tailor learning paths based on individual learner needs and progress. The project will involve creating a prototype that can analyze learner data, adapt content delivery, and provide feedback to optimize exam preparation. The goal is to create a manageable and effective solution that can be completed within a realistic timeframe of 60 hours, spread over 2-8 weeks. This project will allow learners to apply their classroom knowledge in AI and educational technology to a real-world scenario, fostering innovation and practical skills. Project Scope and Expectations: During this project, students will research relevant AI techniques, gather and preprocess educational content, develop and train an AI model (e.g., for intelligent question generation, adaptive feedback, or content recommendation), and demonstrate its application in a prototype interface. By clearly defining the scope, students can grasp the project's depth and requirements, ensuring they can meet expectations within the designated timeframe. Company Overview: At Dazia Inc., we pride ourselves on our commitment to creating high-quality, impactful educational content and fostering a collaborative, innovative environment. This project offers students an opportunity to gain insights into our company culture, values, and the impactful work we do in improving learning experiences through technology. Project Details: Provide more detailed information about the project, breaking down tasks and milestones. This includes: Task 1: Data Collection and Preprocessing (Approx. 15 hours) Details: Students will identify and collect relevant educational content (e.g., existing Dazia Inc. course materials, open-source certification guides, practice questions). They will then preprocess this data, which may involve text cleaning, tokenization, and formatting to make it suitable for AI model training. This task aims to build a foundational dataset. Task 2: AI Model Development & Training (Approx. 30 hours) Details: Students will research and select appropriate AI/NLP models (e.g., for question answering, content summarization, or adaptive quizzing). They will then implement and train this model using the prepared dataset. This could involve leveraging existing AI libraries (e.g., spaCy, NLTK, Hugging Face Transformers) and frameworks (e.g., TensorFlow, PyTorch) to build a prototype capable of generating questions, providing intelligent feedback, or recommending study materials. Task 3: Prototype Integration & Evaluation (Approx. 15 hours) Details: Students will integrate their trained AI model into a basic, user-friendly prototype interface (e.g., a simple web application using Flask/Django or a Python script with command-line interaction). They will then conduct preliminary testing and evaluation of the AI's performance, assessing its accuracy and effectiveness in enhancing the exam preparation process. This involves collecting feedback and identifying areas for future improvement.

Digital Content and Social Media Strategy for Dazia Consulting Inc.

Dazia Consulting Inc. seeks to enhance its online presence and engagement through strategic content creation and social media promotion. The project aims to develop compelling online content that aligns with the company's professional image and educational offerings. This involves creating engaging course-related materials and videos that resonate with the target audience. Additionally, the project will focus on promoting Dazia Consulting's services and events across various social media platforms to increase visibility and customer engagement. The team will also explore effective strategies for managing customer relationships online, ensuring consistent communication and feedback loops. By applying classroom knowledge of digital marketing and content creation, learners will help Dazia Consulting strengthen its brand presence and customer connections.