Kyle Huynh
Learner - He / Him
(1)
12
Crow Report
Crow Report
Windsor, Ontario, Canada

Content Curation Website

The main goal of the project is to create a content curation website in REACT for the web publishing company Crow Report. This website will serve as a platform for aggregating, organizing, and presenting content from various sources in a user-friendly and engaging manner. The website should provide value to users by offering them a curated selection of high-quality content based on their interests and preferences. A membership program will be developed so users and save preferences, favorites etc. A video of similar sites will be provided upon matching for reference purposes.Project Plan: Content Curation Website for Crow ReportProject Goal:Create a content curation website for Crow Report, serving as a platform for aggregating, organizing, and presenting high-quality content from various sources in a user-friendly and engaging manner. The website will offer curated content based on user interests and preferences, with a membership program allowing users to save preferences and favorites.Student Deliverables:1. Source code for the website, with automated live updating of content from multiple sources.2. Sales and marketing program in PDF format for display ads and sponsorships (e.g., Google Ads).3. Digital marketing plan in PDF format for site promotion on social media, including sponsored ads and cost analysis.Tasks for Students:1. Research and Analysis:  - Research target audience demographics, content consumption habits, and preferences.  - Analyze competitor websites and identify best practices in content curation and presentation.2. User Interface Design:  - Develop a user-friendly interface for content aggregation and presentation.  - Design consistent page layouts for the website to maintain a cohesive look and feel.3. Content Recommendation and Personalization:  - Implement algorithms for content recommendation based on user preferences and browsing history.  - Develop features for personalization, allowing users to customize their content feed.4. Usability Testing:  - Test the website for usability across different devices and browsers.  - Gather feedback from test users to identify areas for improvement in user experience.5. Content Moderation and Quality Control:  - Create a system for content moderation to ensure the quality and relevance of curated content.  - Implement tools for users to report inappropriate content and provide feedback.6. Customization Tools:  - Provide users with tools to customize their content preferences, save favorites, and manage their membership settings.Support for Students:- Provide guidance and mentorship throughout the project duration.- Offer assistance with technical challenges and troubleshooting.- Review and provide feedback on project milestones and deliverables.- Facilitate access to resources and tools necessary for project completion.Skills and Technologies:- Web development and design (HTML, CSS, JavaScript, etc.).- User experience (UX) design principles and best practices.- Content curation and recommendation algorithms.- Quality assurance and testing methodologies.- Understanding of user behavior and preferences online.

Matches 6
Category Sales strategy + 4
Open
123 Petits Pas Inc.
123 Petits Pas Inc.
Ottawa, Ontario, Canada

Kajabi Course Content Migration Project

The main goal for the project is to migrate the current online course content of 123 Petits Pas Inc. over to the Kajabi platform. This will involve transferring all existing course materials, videos, and resources to Kajabi in order to provide a seamless learning experience for families in a way that is visually pleasing and aligns well with our brand.

Matches 1
Category Website development + 4
Closed
Aikya Global Inc.
Aikya Global Inc.
Toronto, Ontario, Canada

Feasibility Study and Business Plan for Plastics Recycling Unit

Aikya Global Inc. is considering the establishment of a recycled plastics compounding unit to mitigate environmental concerns and capitalize on the growing demand for sustainable materials. The project aims to develop a comprehensive business plan that outlines the operational, financial, and marketing strategies necessary for setting up the recycling unit. The team will conduct market research to understand industry trends, analyze potential locations for the facility, estimate the costs involved, and project potential revenues. The goal is to create a viable business plan that can be presented to stakeholders and potential investors, demonstrating the feasibility and profitability of the proposed recycling unit.Key tasks include:- Conducting market research to identify demand and competition.- Analyzing potential locations for the recycling unit.- Estimating operational and capital costs.- Projecting revenues and financial viability.- Developing marketing strategies to promote the recycled plastics.

Matches 2
Category Market research + 4
Open
AIModels Tech Inc.
AIModels Tech Inc.
New Westminster, British Columbia, Canada

Optimizing Processes and Insights through Machine Learning Applications

The goal of this project is to design, develop, and deploy a machine learning application that optimizes a specific process or extracts valuable insights from a dataset. Learners will gain hands-on experience in data preprocessing, model selection, training, evaluation, and deployment.Tasks and Activities:Problem Identification:Collaborate with the project lead to define the problem or process that will be optimized using machine learning.Research relevant machine learning techniques and algorithms to address the problem.Data Collection and Preprocessing:Identify and gather appropriate datasets for the project.Clean, preprocess, and transform the data to ensure it is suitable for model training.Model Development:Select and implement appropriate machine learning algorithms (e.g., regression, classification, clustering) based on the problem.Train models using the prepared data and fine-tune hyperparameters to improve performance.Model Evaluation and Validation:Evaluate model performance using appropriate metrics (e.g., accuracy, precision, recall, etc.).Validate the model using cross-validation techniques and ensure it generalizes well to unseen data.Deployment:Deploy the machine learning model in a simulated or real environment.Ensure the model is accessible and can be used effectively for decision-making or process optimization.Documentation and Reporting:Document all steps, from data preprocessing to model deployment, ensuring transparency and reproducibility.Prepare a final report summarizing findings, challenges, and recommendations for further improvement.

Matches 2
Category Data analysis + 3
Open