Sajal Anees

I am thrilled to share the successful completion of a 48-hour hackathon as part of the HEC Generative AI Training (Cohort 3) organized by Pak Angels and iCodeGuru. Our team developed SmogSenseAI, an AI-powered platform designed to tackle the complexities of environmental data automation and smog analysis.

🔍 The Challenge

Environmental research papers are often unstructured and dense, making it incredibly time-consuming for researchers to extract critical pollutant data like $PM2.5$, $NO_x$, and $SO_2$.

💡 Our Solution: SmogSenseAI

We built an end-to-end system where users can upload complex research PDFs. The AI then:

Generates a concise executive summary.

Extracts key pollutant metrics accurately.

Creates structured, actionable analysis reports for better decision-making.

🛠️ Tech Stack & Contribution

Working on the backend logic, I focused on integrating powerful APIs to ensure the system delivered precise insights. Our stack included:

Language: Python

Framework: Streamlit

LLM Integration: Groq API

Data Extraction: pdfplumber

Deployment: Hugging Face

It was an incredible experience collaborating with my team to bring this idea to life. Looking forward to applying these Generative AI skills to solve more real-world problems! 💻✨

Success doesn’t happen overnight — it’s built slowly, step by step. 🌿

Every small effort, every page you read, and every minute you stay consistent shapes your journey toward something bigger.

Sometimes we underestimate the value of small progress, but in reality, those tiny steps create the strongest foundations. 💫

Keep going, even if it’s slow — because progress is still progress, and one day, you’ll look back and realize how far you’ve come. 🌸