Having a better understanding of how the browser works helps one to make better decisions with respect to best practices. link.medium.com/NEX6n6ec1vb

This is my #GitHubUnwrapped!

From a problem statement to a workable solution, it’s a big leap and requires lots of work. It may be required to break down and process it. In some cases, as you become more skilled, you’ll be able to just do this and it will happen naturally. link.medium.com/IxUY77FHhwb

We have created an app that uses a machine learning classifier to categorize waste, facilitating its management with a fun and user-friendly approach. Link: producthunt.com/posts/deep-was… #wastemanagement #opensource

Here, I detail the journey of building the waste management app using deep learning, outlining the various steps I undertook and the valuable insights I gained along the way. Join me as I share my experience in this article. #wastemanagement #deeplearning link.medium.com/Dln9PgrjKyb

Board game where tigers hunt goats while goats block their movements. #boardgames #MachineLearning #gamedevelopment github.com/sumn2u/baghchal

An Open Source Book That Teaches JavaScript. github.com/sumn2u/learn-j… #javascript #opensource #learning

An Open Source Book That Teaches JavaScript in Nepali. Demo: javascript.sumankunwar.com.np/ne/ Source Code: github.com/sumn2u/learn-j… #nepali #javascript #GitHub #opensource #learning

Learn how mobile apps can manage waste through open source data. Our app, Deep Waste, uses deep learning to classify household waste and provide proper disposal and recycling info. Our goal is to reduce waste and increase recycling rates. #deeplearning link.medium.com/JQRByX8o9zb

Excited to share the population density map visualization of #Nepal that I created using hashtag #Rayshader and R programming language. Here, the population and administrative data are taken from #Kontur. Happy Mapping!

Managing waste are now so much easier thanks to our AI engine. By taking a picture of the waste, users can determine its type and receive rewards for properly disposing of it. The app also provides suggestions on how to dispose of the waste correctly. dwaste.live

Pumped to share the #BackdropBuild launch video for D.Waste. backdropbuild.com//builds/v3/dwa… Stay tuned for further updates.

Check out Annotate Lab for image annotation! This open-source tool lets you classify and tag images with polygons, bounding boxes, or points. github.com/sumn2u/annotat…

🎉 Exciting News! 🎉 We've just released Annotate-Lab v1.0! 🚀 Annotate-Lab is an open-source image annotation tool with a React client and a Flask server. Check out our demo video: youtu.be/gR17uHbfoU4 #OpenSource #ImageAnnotation #React #Flask

We're excited to announce the integration of YOLO annotation support in Annotation Lab, enhancing our platform's capabilities for object detection tasks. #annotation #opensource github.com/sumn2u/annotat…

Receive reminders for your trash, recycling, and compost days with Deep Waste. dwaste.live

#AI & #IoT are revolutionizing #wastemanagement: optimizing routes, automating sorting, and boosting recycling efficiency. Yet, data gaps and high costs remain barriers. How can we scale these solutions for a cleaner future? 🤖🚮 brnw.ch/21wODcp Suman Kunwar

Tired of guessing where your trash goes? ♻️ DWaste makes it easy—just snap a pic, and AI instantly sorts your waste for proper recycling. Plus, you get smart disposal tips, nearby drop-off locations & even rewards for making sustainable choices! dwaste.live

Annotate Lab is an open-source image annotation tool built with React by Suman Kunwar 🖼️💬 - madewithreactjs.com/annotate-lab

D.Waste replaces slow, error-prone audits with AI-powered real-time waste identification ensuring accurate sorting, automatic data collection, and insights that help schools and institutions save time, engage communities, and reach sustainability and certification goals.