
Automated Impact Reporting: LCA & Generative AI
Using Large Language Models (LLMs) to Streamline ESG Compliance and Sustainability Reporting.
Skills you will gain:
About Program:
This workshop will delve into the synergy between Life Cycle Assessment (LCA) and Generative AI to automate and optimize impact reporting. Participants will gain hands-on experience with advanced AI tools that streamline the environmental impact assessment process, offering valuable insights into sustainability practices.
Aim: The aim of this workshop is to explore the integration of Life Cycle Assessment (LCA) with Generative AI to automate impact reporting. Participants will learn how AI-driven tools can enhance the accuracy and efficiency of environmental impact assessments.
Program Objectives:
- Understand LCA principles and their role in sustainability.
- Learn how Generative AI enhances LCA and automates impact reporting.
- Apply AI tools to real-world scenarios for optimized environmental decision-making.
- Explore AI-driven systems for scaling environmental impact assessments across industries.
What you will learn?
Day 1: The Foundation – Data, Frameworks, and APIs
- Sustainability reports: GRI, ISO 14040
- Understanding APIs and LLMs
- AI security and privacy practices
Hands-on Lab
- Setting up Google Colab and securing API keys
- Loading sample data (facility_emissions.csv)
- Making the first API call with Python
Day 2: The Logic – Prompt Engineering & LangChain
- System vs. user prompts
- Preventing hallucinations and grounding AI
- Introduction to LangChain
Hands-on Lab
- Crafting and injecting prompts with data
- Testing and refining AI responses for compliance
Day 3: The Insight – Batch Processing & Document Output
- Automating repetitive tasks with loops
- Structuring reports and human-in-the-loop review
Hands-on Lab
- Automating data processing in Python
- Generating and exporting reports in Markdown
Mentor Profile
Fee Plan
Get an e-Certificate of Participation!

Intended For :
- Doctoral Scholars & Researchers: PhD candidates seeking to integrate computational workflows into their molecular research.
- Postdoctoral Fellows: Early-career scientists aiming to enhance their data-driven publication profile.
- University Faculty: Professors and HODs interested in modern bioinformatics pedagogy and tool mastery.
- Industry Scientists: R&D professionals from the Biotechnology and Pharmaceutical sectors transitioning to genomic-driven discovery.
- Postgraduate Students: Final-year PG students looking for specialized research-grade exposure beyond standard curricula.
Career Supporting Skills
Program Outcomes
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Apply GRI/ISO 14040 to real data
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Secure APIs + run Python calls in Colab
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Write grounded prompts, reduce hallucinations
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Use LangChain for compliant workflows
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Batch-process data and export Markdown reports
