Artificial Intelligence & Machine Learning Application

Our research institute explores the root causes of global problems and publish reports on critical issues in relation to the UN SDG's. We want to leverage the latest technology to advance our capacity. Applications of this technology include LLM's, RAG, recommendation algorithms, predictive analytics / forecasting like lifetime values, modelling 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.

Literature Summary Research Assistant

Our research institute publishes dozens of papers every year to promote projects in our field of research. Among these papers are systematic reviews of relevant literature, which analyze the progression of research within our field or problems within a specific vertical of the UN SDG's. We would like to collaborate with students to support our literature review process by categorizing papers, summarizing important findings and fact checking. Bonus points if you can develop a software program or workflow that helps execute this at scale. This allows us to extract and process data more easily. This will involve several different steps for the students, including: Familiarizing themselves with our research and the types of academic papers that we are interested in. Reading studies relevant to our area of research. Applying the categorization scheme to classify relevant studies. Summarizing important results from relevant studies. Bonus steps in the process would also include: Working with researchers to draft a publication based on the results.

AI-Enhanced Signal Detection and Analysis System

Earthshot Factory aims to develop a cutting-edge software solution that integrates digital signals detection and analysis with an AI-driven workflow. The primary goal is to create a system capable of identifying and interpreting various signals from digital data sources and analyzing them. This project will allow learners to apply their knowledge of signal processing, machine learning, and software development to build a robust and efficient system. The software should be able to autonomously detect anomalies, classify different types of signals, and provide actionable insights through an intuitive user interface. The project will involve designing algorithms for signal detection, training AI models for analysis, and integrating these components into a cohesive workflow. The output should be a full-stack web application that allows the user to approve or reject the execution of the AI agent's recommended action.

Digital Networking Enhancer

In today's digital age, building and maintaining professional connections is crucial for career growth and business development. However, many existing platforms either focus on quantity over quality or lack the tools to foster meaningful relationships. Earthshot Factory aims to address this gap by developing a full-stack application prototype that enhances both the quality and quantity of professional connections. The goal is to create a user-friendly platform that leverages advanced algorithms and user data to recommend valuable connections, facilitate meaningful interactions, and provide analytics to track relationship growth. This project will allow learners to apply their knowledge in full-stack development, user experience design, and data analytics to solve a real-world problem.

Artificial Intelligence & Machine Learning Application

Thought Experiment Labs wants to leverage the latest technology to better serve their clients, guide strategic decision making and maximize the value we add to the market. Applications of artificial intelligence 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 mountains of data, from a wide variety of data sources. 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.

Software Development: MERN Stack Web Application

Team SME at Thought Experiment Labs helps Canadian small to medium sized business owners increase their revenue, boost profitability and modernize operations in the digital age. The main goal for the project is to build a web application using the MERN stack that will help small to medium sized businesses find new opportunities, grow their operations, modernize, boost profitability, and increase revenue. The application should adhere to industry standard software engineering principles. This will involve several different steps for the learners, including: - Understanding the requirements and goals of Thought Experiment Labs, Team SME and other details - Designing the architecture of the web application using the MERN stack. - Developing the front-end and back-end of the web application. - Testing and debugging the web application to ensure it meets industry standards. - Deploying the web application and providing documentation for future maintenance.

Software Development and Data Science / Analysis

Team SME at Thought Experiment Labs helps Canadian small to medium sized business owners increase their revenue, boost profitability and modernize operations in the digital age. The main goal for the project is to leverage/apply emerging technologies, build Python scripts and programs to modernize operations, automate workflows, and service clients better. Additionally, the project aims to generate a generative AI playbook to learn about best tools and tech that exist, leveraging said tools to improve internal operations and processes. Lastly, the project seeks to leverage data science principles to analyze the data, draw patterns, predictions, and filter for the best targets/priorities.

Information Technology Strategy

Team SME at Thought Experiment Labs helps Canadian small to medium sized business owners increase their revenue, boost profitability and modernize operations in the rapidly changing digital age. Our team relies heavily on information technology (IT) services (alongside emerging technologies like artificial intelligence and blockchain) to manage data, service clients and maximize operational efficiencies. We want to develop a roadmap for growing our IT assets and capabilities where they need to be to ensure future competitiveness and success in our industry. We would like to collaborate with students to create a strategic information technology (IT) resource and asset allocation plan based on a needs assessment. This will involve several different steps for the students, including: Familiarizing yourself with our mission and vision statements. Understanding how we help small to medium sized businesses and how we help serve clients. Completing a needs assessment. Researching industry / competitor IT trends and capabilities. Recommending processes for training and implementation of an IT plan. Drafting budget and costs for an organization of our size. Bonus steps in the process would also include: Conducting a pilot program with the proposed IT plan and making revisions.

SEO and Social Media Strategy

Team SME at Thought Experiment Labs helps Canadian small to medium sized business owners increase their revenue, boost profitability and modernize operations in the digital age. Our team is looking to take our social media presence to the next level in order to drive traffic to our pages. To do this, we hope to improve our search engine optimization, and create an optimal schedule for our social media posts to be uploaded. This will involve several different steps for the students, including: Leveraging AI powered tools to reach Search Engine Optimization goals. Researching keywords to determine the most relevant terms that our customers search for. Researching Search Engine Optimization requirements for us to rank on the first page of Google. Constructing a content calendar to upload social media content for the maximum possible traffic . Creating social media content using the most efficient keywords for our target audience while following the content calendar. Bonus steps in the process would also include: Using our company’s social media analytics to tailor the content calendar to our customers activity, rather than general trends

Sales Process Optimization

Earthshot Factory helps Fortune 500's save more lives and accelerate progress on the United Nations Sustainable Development Goals by leveraging AI. Our company is hoping to improve our sales process to improve our ROI and overall operations. In this project, students will evaluate our current sales process, determine bottlenecks, and create recommendations as well as new training materials. Based on research and best practices you will develop new scripts for our sales staff to use to improve the quality and quantity of leads generated and increase the conversion rate. This will involve several different steps for the students, including: Evaluating our current sales process by speaking with sales representatives and examining our handbook and protocols. Researching industry sales processes and lead generation strategies. Create recommendations that will improve our leads and conversion rate. Writing new sales scripts for both phone calls and emails. Creating an updated sales process handbook.

Full-Stack Website Development

We're looking to build a product that maps the root causes to the World's Biggest Problems. We would like to work with students to develop a new data visualization that is easy to maintain while providing an appealing interface for users. This will require skills in the MERN stack, knowledge of front-end and back-end web technologies, languages and frameworks. This will involve several different steps for the students, including: Researching different libraries and their associated advantages / disadvantages. Conducting a needs analysis to determine which platform is most suitable. Building a website, with our assistance in providing the content. Providing training on updating and maintaining the website. Creating documentation for future developers. Bonus steps in the process would also include: Testing prototypes with customers and refining ideas with feedback.