AI-Driven Insights and Lead Prediction for Cleantech Expansion
Company Global Cleantech Directory Connecting cleantech businesses globally to accelerate sustainability and innovation. Project Summary This project will support the Global Cleantech Directory platform by leveraging advanced data analytics and AI to track user engagement, forecast growth, and identify high-value leads. Interns will apply machine learning to real user behavior data and create predictive models and dashboards to help increase conversions and platform adoption. Their work will directly improve decision-making, marketing, and user experience design across the platform. Internship Objectives Build predictive models to understand user intent and likelihood of sign-up or upgrade Analyze user interaction data (listings viewed, chatbot messages, time on page, etc.) Create dashboards that summarize listing engagement, user trends, and regional growth Deliver strategic recommendations to improve business conversion and user retention Integrate data-driven insights with existing chatbot and AI assistant design Tools & Data Languages/Tools: Python, SQL, Tableau, Power BI, Excel Data Sources: Platform activity logs, listing metadata, chatbot transcripts (if anonymized) Collaboration: Slack or Teams, Zoom check-ins, shared Google Drive or Notion for documentation Suggested Skills Intermediate to advanced knowledge of Python (pandas, sklearn, matplotlib) Experience in classification models, clustering, or time series forecasting Familiarity with dashboard tools (Power BI, Tableau) Ability to explain findings to non-technical stakeholders Ideal Student Profile MDA student with strong curiosity and a business mindset Interest in cleantech, sustainability, or digital platforms Able to work independently while meeting key project milestones Timeline Duration: 10–12 weeks (Sept 22–Dec 14, 2025) Estimated hours: 350–480 hours Mode: Remote Why Join This Project? Help a cleantech platform grow faster using the power of AI. Your work will directly influence global business engagement, and you’ll leave with a real-world analytics portfolio that demonstrates high-impact, applied data science.
MERN Stack Website Rebuild for Global Cleantech Directory
The Global Cleantech Directory is seeking to enhance its online presence by transitioning its existing WordPress website to a more robust and modern MERN (MongoDB, Express.js, React, Node.js) stack. This project aims to improve the website's performance, scalability, and user experience, addressing current limitations in customization and security. By leveraging the MERN stack, the new website will offer modern web functionalities that align with industry standards. This project provides learners with the opportunity to apply their classroom knowledge in full-stack web development, focusing on both front-end and back-end technologies. The team will work collaboratively to ensure a seamless transition, maintaining the integrity of existing content while enhancing the overall user interface and experience. The project is designed to be completed within 80 hours, allowing learners to gain practical experience in a real-world setting.
AI-Powered Engagement & Impact Campaign for LumeSmart Earth Day 2026
About the Project: LumeSmart Earth Day is more than an event — it's a platform for driving climate action, connecting communities, and showcasing cleantech innovation. As we prepare for Earth Day 2026 , we want to launch a creative engagement campaign that uses AI tools to boost visibility, personalize outreach, and measure real impact . This project invites learners to design and simulate an end-to-end digital campaign powered by AI — targeting students, businesses, local communities, and environmental leaders across Canada and globally. Project Objective: Design an AI-enhanced engagement and awareness campaign for Earth Day 2026 that: Builds momentum before the event Increases attendee interaction during the event Measures and reports climate or social impact afterward
Revenue & Sponsorship Strategy for LumeSmart Earth Day 2026
About the Project: LumeSmart Earth Day is an established, independently-led sustainability conference and trade show, celebrating over a decade of impact in Canada’s cleantech and environmental sectors. As we look ahead to Earth Day 2026 , our goal is to design a creative, community-centered, and revenue-sustainable event that attracts cleantech leaders, youth, educators, startups, and civic partners. This project invites learners to build a comprehensive strategy and sales plan for LumeSmart Earth Day 2026, with a strong focus on: Revenue generation Creative sponsorship models Modern event elements that can elevate visibility, participation, and financial stability Project Objective: Develop a revenue and sales strategy for LumeSmart Earth Day 2026 by: Analyzing our past approach and market trends Proposing creative revenue streams (e.g., AI booths, virtual access passes, eco-product pop-ups) Updating our sponsorship/exhibitor packages Building a target list and outreach plan
AI-Integrated Business Strategy for Expanding LumeSmart Earth Day
About the Project: LumeSmart Earth Day is a decade-strong sustainability conference and trade show that connects clean technology leaders, civic partners, and youth to drive environmental action. As we plan for our next phase of growth, we want to explore how AI tools can enhance our business strategy — from outreach and sales to content and operations. This project invites learners to apply their knowledge of AI tools in business , and help us create a targeted strategic growth plan supported by real AI use cases. Rather than build tools from scratch, students will use existing AI technologies to identify, simulate, or test business enhancements for the conference. Project Objective: Develop a focused business growth strategy for LumeSmart Earth Day with 1–2 AI-powered applications that strengthen event operations, marketing, or sponsorship development.
AI-Powered Lighting Advisor for Greenhouses and Vertical Farming
About the Project: LumeSmart Inc. is a woman-owned Canadian cleantech company founded in 2013. We specialize in LED lighting solutions for agricultural, commercial, and residential use. Our goal is to support sustainable local food production by helping growers — from greenhouses to vertical farms — access the right lighting systems for their crops. This project invites students to build a basic AI-powered tool that simulates how a grower might input simple information (e.g., crop type, square footage, growing environment), and receive a lighting recommendation output based on internal data we provide. This prototype will support LumeSmart’s sales and consulting process and will help us better engage customers interested in sustainable farming. Confidential Use Statement: This tool is intended for internal business use only at LumeSmart. It will be used to support customer recommendations, and the information it provides will be free only to clients who purchase our LED products . Students will work under a non-disclosure agreement (NDA) to protect proprietary data, and will be encouraged to focus on the technical logic and tool-building , not on business operations or product decisions. Objectives (Refocused and Clear): Build a prototype system or chatbot that accepts grower inputs (e.g., crop type, growing method, area size). Map these inputs to a structured logic or database (provided by LumeSmart) to generate simple lighting suggestions. Output results such as: “Recommended: LumeSmart X100, Qty: 12, Spectrum: Full Red/Blue” in a basic web form or chatbot. Ensure the tool structure can be scaled in the future with more crops or product types.
Sales Development for LED Lighting – Supporting Energy Efficiency in Canadian Buildings
About the Project: LumeSmart Inc. is a woman-owned Canadian cleantech company, operating since 2013. We specialize in high-efficiency LED lighting solutions for commercial, residential, and institutional clients across Ontario and beyond. Our mission is to reduce energy costs and carbon footprints through smart lighting upgrades — backed by programs like Save on Energy , where we help clients apply for incentives that reduce upfront costs. This project is ideal for business students interested in real-world sales , outreach, and customer engagement. You will support our goal of identifying new sales leads and connecting with decision-makers in offices, retail, warehouses, condos, and residential sectors. Project Objectives: Identify potential clients (businesses, property managers, or homeowners) who would benefit from LED upgrades. Create an organized lead list with contact details and basic qualification notes. Support initial outreach via phone, email, or LinkedIn (with templates provided). Participate in or help schedule introductory calls with interested leads. Reflect on the sales process and provide ideas for improving outreach efficiency.
Global Legal & Tax Framework Research for International Growth of Global Cleantech Directory
Project Overview: As Global Cleantech Directory expands internationally, this project focuses on helping us ensure compliance with two critical areas that impact global digital platforms: data privacy laws and international tax regulations . Students will conduct comparative legal research and practical analysis to ensure we meet the standards of data protection frameworks (like GDPR and PIPEDA) and understand taxation policies across key markets. This focused project enables real-world application of coursework in law, taxation, and international business policy. Project Goals: Research and summarize data protection laws applicable to our platform (GDPR, PIPEDA, etc.) Identify key international taxation policies that affect digital services and cross-border invoicing (e.g., VAT, DST) Provide compliance guidelines for handling international user data and transactions Deliver clear, region-specific summaries that inform internal practices and investor communications Recommend a checklist for legal onboarding of international clients Propose a basic compliance audit framework for future internal review Identify potential risks or penalties for non-compliance in key jurisdictions Analyze how different regulatory requirements may impact user experience or platform features
CRM Optimization & Lead Generation Strategy Using HubSpot for Global Cleantech Directory
Project Overview: The Global Cleantech Directory is a growing B2B platform designed to connect cleantech companies, investors, and decision-makers worldwide. We are seeking a student team to help us strategically implement and optimize HubSpot for lead generation, CRM management, and email marketing automation to increase platform engagement and drive sales. Project Goals: Set up or audit existing HubSpot CRM for improved user and lead tracking. Design and implement automated email workflows for onboarding, newsletter updates, and re-engagement. Develop lead generation strategies and conversion funnels to attract cleantech businesses. Create a scalable sales pipeline that can track listing owners, trial users, and paid subscribers. Integrate analytics and reporting to monitor CRM and marketing performance.