The main aim of the project is to develop a secure and transparent system that can collect, verify, and store environmental data using blockchain technology. The system addresses a critical challenge in environmental monitoring: ensuring the credibility and traceability of data used for sustainability reporting, regulatory compliance, and climate action initiatives. IoT devices will serve as real-time data sources for metrics such as air quality, carbon emissions, or water usage. Blockchain will be used to create an immutable ledger for the collected data, and smart contracts will automate validation processes. Optional integration of machine learning models can assist in analyzing data trends or detecting anomalies. By the end of the project, students are expected to deliver a prototype system that demonstrates how decentralized technologies can improve trust and efficiency in environmental data management.
The project will unfold over a twelve-week period with distinct development phases. Initially, students will be introduced to blockchain platforms such as Ethereum, Hyperledger, or Polygon, and learn how to design smart contracts for data management. In parallel, they will simulate or connect mock IoT devices that generate environmental data streams. These inputs will be integrated with the blockchain backend to ensure that all data entries are traceable and tamper-proof.
The core application will include a simple user interface for viewing and reporting data and a backend logic that handles data validation and storage through smart contracts. Students will use open-source tools and libraries for development and may incorporate machine learning libraries like TensorFlow, PyTorch, or scikit-learn for basic data analysis. The final weeks of the project will be dedicated to optimizing performance, system testing, writing technical documentation, and delivering a team presentation. Best practices in ethical development, clean coding, and transparent documentation must be followed throughout the project.
