Programme Parameters
Graduate / Intermediate
3 Days (4.5 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
AI in Plastic Lifecycle Analysis brings machine learning to one of the most visible environmental challenges of our time. You learn to apply AI across the plastic lifecycle: detecting and classifying plastic waste from imagery, tracking flows through the waste system, and modelling the environmental footprint of plastics from production to disposal. The course connects computer vision, data analysis and lifecycle-assessment thinking to real problems in waste management, recycling and policy. You finish able to apply AI to a plastic-lifecycle or waste-monitoring problem with a clear environmental purpose. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This course applies AI to plastic lifecycle analysis — detecting, tracking and quantifying plastic waste and modelling its environmental footprint from production to disposal.
📋 Course Objectives
1. Detect and classify plastic waste from imagery.
2. Track plastic flows through the waste system.
3. Model the environmental footprint of plastics.
4. Apply lifecycle-assessment thinking with data.
5. Connect analysis to waste and recycling decisions.
👥 Who Should Enroll?
• Environmental and sustainability scientists
• Waste-management and recycling professionals
• Data scientists in the circular economy
• Students of environmental technology
🚀 Key Learning Outcomes
• The ability to apply AI to plastic-lifecycle problems.
• A waste-detection or footprint-modelling project.
• An environmentally purposeful analytics skill set.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Module 1 – Foundations of AI for Plastic Pollution
Explore plastic pollutant typologies and environmental impact • Deploy computer‑vision pipelines on Sentinel‑2 and UAV imagery • Build a Python‑based polymer classifier using Raman spectroscopy datasets
Module 2 – Micro‑plastic Detection & Classification
Implement YOLO and CNN models for real‑time debris detection • Apply 3D AI tools (e.g., MP3D) for micro‑plastic volumetric analysis • Validate models against open‑access MDPI research datasets
Module 3 – Transport Pathways & Lagrangian Modeling
Simulate riverine and marine plastic flow with AI‑driven particle tracking • Engineer features linking wind, tide, and current data to drift patterns • Create a Random Forest regression model to predict drift trajectories
Module 4 – Temporal Forecasting of Pollution Trends
Design RNN and LSTM networks for seasonal pollution prediction • Integrate multi‑source environmental time series (weather, currents) • Evaluate model performance with real‑world historical datasets
Module 5 – AI for Circular Economy & Waste Management
Develop digital twins for waste‑to‑energy and sorting‑facility optimization • Generate predictive risk maps to guide ESG and policy interventions • Prototype data‑driven decision tools for recycling infrastructure
Capstone Lab – End‑to‑End AI Pipeline
Integrate detection, transport, and forecasting modules into a single workflow • Deploy the pipeline on Google Colab and generate a policy‑ready impact report • Present findings to peers and receive expert feedback
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | Google Colab |
| Covered Tool / Platform | TensorFlow |
| Covered Tool / Platform | PyTorch |
| Covered Tool / Platform | Sentinel-2 |
| Covered Tool / Platform | UAV imagery |
| Covered Tool / Platform | Raman spectroscopy |
| Covered Tool / Platform | YOLO |
| Covered Tool / Platform | CNN |
| Covered Tool / Platform | RNN |
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