Kickstarter Campaign Strategy for Alvia Systems

Alvia Systems Inc. is seeking a strategic plan for launching a successful Kickstarter campaign for one of its innovative products. The goal of this project is to develop a comprehensive campaign strategy that effectively communicates the product's value proposition, engages potential backers, and achieves the desired funding target. Learners will apply their knowledge of marketing, digital communication, and project management to create a compelling campaign narrative and promotional plan. The project involves researching successful Kickstarter campaigns, identifying target audiences, and designing engaging content that aligns with Alvia Systems' brand identity. The team will also outline a timeline for campaign activities and propose metrics for evaluating success. This project provides an opportunity to bridge classroom learning with real-world application in the dynamic field of crowdfunding.

Low-Cost VTOL Development with Fire Detection via ML

The objective of this project is to design and develop a small-scale, cost-effective VTOL drone equipped with a flight controller and a fire detection system using machine learning (ML). The drone should be designed with modularity in mind, allowing for future sensor and component upgrades. Given budget constraints, the project will focus on using standard cameras and ML-based fire detection instead of expensive thermal cameras. Students will be responsible for developing the drone’s software, integrating sensors, and implementing the ML-based fire detection system while ensuring the design is scalable for larger applications.

Business Analytics for Alvia Systems Inc

The main objective of this project is to equip students with advanced geospatial intelligence and business‐driven spatial analytics skills by integrating provided wildfire maps with oil and gas pipeline datasets to identify high‑risk segments and their owning companies. Leveraging these insights, students will design targeted customer‑acquisition strategies for pipeline operators—using proximity‑based market segmentation and value‑proposition modeling—to drive proactive stakeholder engagement and market expansion. Students will collect and preprocess GIS data, execute spatial overlays and buffer analyses in QGIS/ArcGIS, automate workflows with Python scripts, and synthesize their findings into annotated risk maps and a concise, stakeholder‑ready assessment report.

R&D Drone Project for Alvia Systems Inc

This project aims for students to design, develop, and build a functional hardware drone, incorporating electrical work, hardware assembly, and research and development. The objective is to provide comprehensive hands-on experience in drone technology, including design, component integration, and testing. By the end of the project, students will have learned the essentials of drone development, showcasing their ability to connect their learning experience with industry skills in electronics, hardware engineering, and R&D.