In many cities around the world, garbage collection is still done manually, with little planning or automation. Bins overflow, garbage trucks take long routes, and recyclable materials end up in landfills. This results in pollution, health hazards, and wasted resources.
The idea for SmartWaste was born from observing these challenges in urban areas. A small team of students set out to combine AI, IoT, and data analytics to create a system that could automatically segregate waste, track bin usage, and optimize collection routes. They designed smart bins fitted with sensors, connected them to a mobile app, and built an AI model that could recognize and separate different waste categories.
Over time, the project grew into a platform that not only helps municipal corporations save costs but also encourages households to recycle through a reward-based app. The story of SmartWaste reflects how technology, when applied with purpose, can make cities cleaner, more efficient, and sustainable for the future.
Built With
- aws-(alternative-for-hosting-&-iot)-databases:-mongodb
- css-frameworks:-react.js-(web)
- docker
- firebase-(for-notifications)-dev-tools:-github
- html
- javascript
- languages:-python
- node.js-with-express-(backend)-cloud-services:-google-cloud-(gke
- postgresql-ai/ml:-tensorflow
- pytorch-(image-classification-for-waste-sorting)-iot-hardware:-arduino
- raspberry-pi-with-ultrasonic-&-weight-sensors-apis:-google-maps-api-(for-route-optimization)
- react-native-(mobile)
- storage
- vision-ai)
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