BCO Pontentiel Inc. Website Development

BCO Pontentiel Inc. is seeking to establish a digital presence through the creation of a user-friendly and visually appealing website. The goal of this project is to design and develop a website that effectively communicates the company's mission, services, and values to its target audience. The website should be responsive, ensuring optimal viewing on various devices, and should include essential features such as an about page, services overview, contact information, and a blog section for updates. The project will allow learners to apply their knowledge of web development, design principles, and user experience to create a cohesive and functional site. By the end of the project, the team will have gained practical experience in website creation, from initial design concepts to final deployment.

Social Media Marketing Strategy for Hulde Nimbona

Hulde Nimbona is seeking to enhance its communication marketing efforts on social media platforms. The goal of this project is to develop a comprehensive social media marketing strategy that aligns with the company's brand and objectives. Learners will analyze current social media trends, identify target audiences, and propose effective communication strategies tailored to each platform. The project will involve researching best practices in social media marketing, evaluating the company's current social media presence, and suggesting improvements. By applying classroom knowledge of digital marketing and communication, learners will gain practical experience in crafting a cohesive and impactful social media strategy. This project will focus on platforms such as Facebook, Instagram, and Twitter, you tube ensuring that the proposed strategies are relevant and actionable.

Artificial Intelligence & Machine Learning Application

Our company advertises thousands of products, and we want to leverage the latest technology to gain market advantage. Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research on our existing products and the dataset. Analyzing our current dataset. Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem.