DCU-Final-Year-Projects-Booklet-2025

32 1. Converting IoT Sensor Data into Natural Language Summarisation Using Generative AI This project aims tomake complex IoT datamore accessible by leveraging Generative AI to convert raw sensor outputs into user-friendly insights. It focuses on transforming intricate datasets, such as air quality and traffic data from Irish cities, into natural language summaries. These summaries will be delivered via an interactive chatbot, allowing users to engage and receive personalised responses. Instead of presenting dense tables of numerical data, the chatbot will generate concise, human-like summaries, such as, “Dublin recorded a good PM2.5 air quality reading of 10.6 _g/m_.” By simplifying the interpretation of IoT data, this project enhances public awareness in areas like urban planning, environmental management, and health. It fosters greater engagement with data, enabling both policymakers and citizens tomake informed decisions. Student Programme Electronic and Computer Engineering (Year 4) Project Area Artificial Intelligence, Data Analytics, Databases, Energy Conservation, Internet of Things, Natural Language Processing, Sensor Data, Sensor Technology, Software Development, Web Application, Human-computer Interaction Project Technology HTML5, Python, Machine Learning Student Name(s) Afua Adu Email afua.adu2@mail.dcu.ie Supervisor Dr Ali Intizar 2. Environmental and Economic Assessment of the Irish Afforestation Scheme The Irish government faces a significant challenge in aligning with EU regulations andmeeting low-carbon emission targets, with the ultimate goal of achieving carbon neutrality in the coming years. Afforestation, the establishment of new forests on previously unused land, is an effective strategy for expanding Ireland’s carbon sink. The 2023–2027 Afforestation Scheme aims to support this effort by providing grants to Irish farmers for planting forests on their land. This project assesses the feasibility of the afforestation scheme and seeks to predict its success by evaluating potential emission reductions using engineeringmethods. Additionally, the economic value of afforestation will be analysed to ensure the scheme remains attractive to Irish farmers. Student Programme Mechanical and Sustainability Engineering (Year 4) Project Area Renewable Energy Technology, Life Cycle Assessment Project Technology Simapro Student Name(s) Rory Boland Email rory.boland5@mail.dcu.ie Supervisor Dr GregMcNamara Project Summaries in Chronological Order (Project Numbers 1-279)