Market Fit Research for AirPure Innovations

This repository contains my submission for Codebasics Resume Project Challenge 16, focused on analyzing India's air pollution crisis and identifying the product-market fit for AirPure Innovations, a hypothetical startup in the air purification industry.

The project combines data analysis, visualization, and research to provide actionable insights for stakeholders and decision-makers. .....................................................................................................................................................................................

India ranks among the most polluted countries globally, with 14 cities in the top 20 most polluted. AirPure Innovations aimed to understand the market potential before investing in production and R&D.

This project addressed that need by building a data-driven dashboard and conducting research analytics to uncover:

Key pollutants driving health risks

Geographic hotspots for product launch

Policy and market dynamics affecting air purifier adoption

Demand surges during seasonal pollution spikes

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Video Presentation -

Live Dashboard - https://app.powerbi.com/view?r=eyJrIjoiMzFhY2I2OTMtYzUyMi00NzgyLThkNTktNjAxZTk4ZmZiMWJjIiwidCI6IjM3NDNlYmQ0LTJjYTMtNDFjMi1iZTA0LTc2Mzg2MzJjYzdjOCJ9&pageName=39ebbc7a5e0a4558da69

Product Requirement & Development Document

Research Findings (Presentation PDF) - https://github.com/addysiddiqui7/codebasics-resume-challenge-16/blob/main/Analysis%20pdf

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Home Page: Project introduction and overview

AQI: Air quality trends across regions

Polluscope: Pollution and its impact on health

Market: Current market landscape for air purifiers

Summary Pages: Concise insights for quick stakeholder decision-making

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PM10 & PM2.5 are the most harmful pollutants — filtration must prioritize these.

Population is not proportional to pollution — Bengaluru shows the importance of strong policies.

Smaller regions like Byrnihat (Meghalaya-Assam border) face severe pollution, often overlooked.

High-risk launch hotspots: Delhi, Noida, Gurugram, Patna.

Children and seniors face the worst health risks (asthma, COPD, bronchitis).

EV adoption shows mixed results — not a guaranteed solution to clean air.

Awareness of AQI exists, but understanding is low in Tier 2/3 cities.

Pollution spikes directly influence demand — especially during Diwali.

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Prioritize PM2.5 + VOC filtration technology

Launch in high-AQI, high-population hotspots

Use the Prioritization Quadrant in the dashboard for data-driven decisions

Build awareness campaigns around AQI in non-metro cities

Leverage clean-air policies for growth opportunities

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This project was guided by the Codebasics Resume Challenge (Challenge 16), with mentorship and inspiration from Dhaval Patel and Hemanand Vadivel.