Sentiment Analysis for Customer Feedback

The project aims to develop a sentiment analysis tool that can evaluate customer feedback for 9406-7725 Quebec Inc. The company receives a significant amount of customer feedback through various channels, and understanding the sentiment behind this feedback is crucial for improving customer satisfaction and product offerings. The goal is to create a machine learning model that can accurately classify feedback as positive, negative, or neutral. This project will allow learners to apply their knowledge of natural language processing (NLP) and machine learning algorithms. The tasks will include data collection, data preprocessing, model training, and evaluation. The project will focus on creating a prototype that can be integrated into the company's existing feedback system.

AI-Enhanced Website Development

The project aims to integrate artificial intelligence capabilities into an existing website to enhance user experience and functionality. The primary goal is to develop an AI-driven feature that can provide personalized content recommendations to users based on their browsing history and preferences. This will involve analyzing user data, designing an AI algorithm, and implementing it into the website's framework. The project will allow learners to apply their knowledge of AI, web development, and data analysis in a practical setting. Tasks include researching AI recommendation systems, developing a prototype, and testing its effectiveness. The project is designed to be completed by a team of learners specializing in computer science or a related field, ensuring they have the necessary skills to tackle the tasks effectively.

AI-Driven Blockchain Trading Simulator

The project aims to develop a simulated trading platform that leverages AI algorithms to execute trades on a blockchain network. The primary goal is to create a realistic trading environment where learners can apply their knowledge of AI, blockchain technology, and financial markets. The platform will simulate real-world trading scenarios, allowing users to test and refine AI models for decision-making in trading. This project provides an opportunity for learners to integrate their understanding of AI algorithms, blockchain architecture, and trading strategies. The tasks involved include designing the AI model, integrating it with a blockchain network, and developing a user interface for the trading simulator. The project is designed to be completed by a team of learners within a single academic program, focusing on computer science or a related field, and can be completed in under 80 hours.

Responsive Website Development for Local Business

The project involves developing a responsive and user-friendly website for 9406-7725 Quebec Inc, a local business seeking to enhance its online presence. The current website is outdated and lacks mobile optimization, which affects user experience and engagement. The goal is to create a modern, visually appealing, and functional website that effectively communicates the company's services and values. The project will require learners to apply their knowledge of web development, including HTML, CSS, and JavaScript, to design and implement a site that is both aesthetically pleasing and easy to navigate. Key tasks include conducting a needs analysis, designing wireframes, developing the site, and testing for usability and responsiveness across different devices.