// Example JS code structure for integrating an API in Webflow document.addEventListener('DOMContentLoaded', function() { // Function to call the ZeroGPT API function callZeroGPTAPI(inputText) { var xhr = new XMLHttpRequest(); xhr.open('POST', 'https://api.zerogpt.com/v1/endpoint', true); // Use the correct API endpoint URL xhr.setRequestHeader('Content-Type', 'application/json'); xhr.setRequestHeader('Authorization', '9446345d-a918-4966-b83d-c71edb513a36'); // Replace with your actual API key xhr.onreadystatechange = function() { if (xhr.readyState === 4 && xhr.status === 200) { var response = JSON.parse(xhr.responseText); // Handle the response from the API console.log(response); } }; var data = JSON.stringify({ "input": inputText }); xhr.send(data); } // Example of how you might call the above function // Perhaps when a button is clicked document.getElementById('your-button-id').addEventListener('click', function() { var userInput = document.getElementById('your-input-id').value; callZeroGPTAPI(userInput); }); });

5 Mobile App Ideas Using AI and Computer Vision for a Greener Future

April 22, 2023

Artificial Intelligence is the most powerful tool we have to make our world better. It is not only an opportunity but also a responsibility of our generation to use AI in solving the most daunting challenges facing society, from equality to security, clean energy, sustainability, human rights, and more. At Passio, we aspire to build tools that make the quest for responsible AI easier and provide developers with the resources needed to create a better, more equitable, and sustainable world.

On device computer vision allows phones to analyze and understand visual data from the world. By using the cameras and computer in our phones we are now able to make AI context-aware and create unique apps that were not possible before. By leveraging on-device AI, we can foster responsible environmental practices, optimize resource management, and support conservation efforts. From smart recycling to energy efficiency and wildlife monitoring, these app concepts demonstrate the potential of AI to leave a lasting, positive impact on our planet.

In this post, we explore five AI-powered mobile app ideas that aim to advance sustainability goals and can be built in a few days using Passio's Mobile AI Platform:

  1. Smart Recycling App: This app would use computer vision to identify different types of waste and provide users with information on proper disposal methods, such as recycling, composting, or landfill. By scanning an item with their smartphone camera, users can quickly learn how to dispose of it responsibly, reducing the amount of waste sent to landfills and promoting recycling. You can also imagine building an app that would help users recycle or up-cycle or maybe event find ways to sell some of the old items and prevent them from becoming waste.
  2. Energy Efficiency App: This app would help users identify energy inefficiencies in their homes or workplaces by scanning the environment with the smartphone camera. The app could detect drafty windows, inefficient lighting, or improperly insulated areas, and provide suggestions for improvement, such as upgrading to LED lights or applying weatherstripping to windows. This would help users reduce energy consumption and save on utility bills. This app can leverage Passio's existing Remodel AI technology to scan environments. You can see an example here: https://youtu.be/lx0pfYaEIHw
  3. Urban Greenery App: This app would use computer vision to assess the amount of greenery in urban environments, such as parks, gardens, and street trees. By scanning an area with their smartphone camera, users can receive information about the local flora and learn about the benefits of urban greenery, such as reducing air pollution and mitigating the urban heat island effect. The app could also suggest ways to enhance urban green spaces or promote the planting of more vegetation. It could even help you buy outdoor plants and share ideas on how to take care of them.
  4. Sustainable Shopping App: This app would use computer vision to analyze the environmental impact of products by scanning their packaging or barcodes. The app could provide users with information about the sustainability of the product, including its carbon footprint, water usage, and waste generation. This would help users make more informed purchasing decisions and promote the consumption of eco-friendly products. You can use the same technology we are using in our Nutrition-AI SDK to scan products, read information on the packages and provide real-time on-device recommendations. Get inspired: https://youtu.be/Tn0KXrnCdaU
  5. Wildlife Monitoring App: This app would allow users to contribute to wildlife conservation efforts by using computer vision to identify and track animals in their natural habitats. Users could snap photos of animals they encounter and receive information about the species, its conservation status, and any threats it faces. The app could then share this data with conservation organizations to help monitor wildlife populations and inform conservation strategies.

These mobile apps could leverage the power of computer vision to promote sustainable behaviors, raise awareness about environmental issues, and contribute to conservation efforts.

Whether you're an experienced developer or an eco-conscious individual with a vision, the Passio Mobile AI Platform empowers you to make a tangible difference in the world, one sustainable app at a time. It's time to harness the potential of AI and computer vision to create a brighter, cleaner, and more sustainable world for generations to come. Connect with us and start building our sustainable future today!