Stride Emissions Intelligence Dashboard

The Emissions Intelligence Dashboard is an end-to-end data visualization and analysis platform developed.

The application processes raw OWID sector-wise CO₂ emissions data, cleans and transforms it into a research-ready format using Pandas.

Interactive visualizations built with Plotly allow users to explore emission trends over time and compare sector-wise contributions across countries.

An AI-powered chat agent integrated using LangChain and Groq LLM enables users to query the dataset directly and receive structured, research-style insights.

• Processed and transformed large-scale OWID emissions datasets using Pandas
• Built interactive dashboards with filters for country, sector, and time period
• Visualized emissions trends and sector breakdowns using Plotly
• Integrated LangChain Pandas DataFrame Agent for data-grounded AI analysis
• Used Groq LLaMA 3.1 model for fast, scalable natural language insights
• Designed research-style prompting for analytical, multi-paragraph responses
• Deployed the application on Streamlit Cloud with secure API key management
• Focused on intuitive UX and real-world decision-support use cases

Dashboard Overview

User-centric dashboard displaying emissions trends across countries, years, and industrial sectors using interactive visualizations.

Sector-wise Analysis

Breakdown of emissions by industry sectors such as coal, oil, gas, cement, flaring, and land-use change.

AI Chat Agent

AI-powered chat panel enabling users to ask analytical and research-based questions grounded in the emissions dataset.