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Description

Adding my project Greenify to Showcase which I worked on during Perplexity Sonar Hackathon

Type of Contribution

  • Example Tutorial
  • Showcase Project
  • Article/Integration Guide

Checklist

  • My code follows the cookbook's style guidelines
  • I have included comprehensive documentation
  • I have tested my code and it works as expected
  • I have included all necessary dependencies and setup instructions
  • My MDX file includes proper frontmatter (title, description, keywords)
  • I have linked to any external repositories or live demos

Project Details

The inspiration for Greenify stems from the growing need to address environmental challenges and promote sustainable living. With the rise of urbanization and technology, we wanted to create a platform that merges innovation with eco-consciousness. Greenify aims to empower individuals and communities to take actionable steps toward a greener future by leveraging technology to make sustainability accessible and engaging. Just capture a photo of any place (balcony, roadside, basement etc.) with your phone and allow location capturing, Perplexity automatically analyzes the photo and suggests suitable plants/trees for that location. Furthermore, it searches for like-minded people in locality and creates a community for sustainable, economic and social growth in the area.

What makes this contribution valuable to other developers?
This project includes usage of both Sonar Pro and Sonar Deep Research APIs along with image analysis and structured JSON output. Also this project shows a backend and frontend mobile app integration and shows functionalities like image, location capturing and sending the data for analysis. This will be very useful for developers using Expo and Flask.

External Links (if applicable):

@kesku kesku merged commit 111bf9a into perplexityai:main Aug 16, 2025
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@kesku
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kesku commented Aug 19, 2025

@deepjyotipaulhere
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Thank you so much

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2 participants