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-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.

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