# Trash classification with TinyML **URL:** \ **Category:** Projects\ **Created:** [March 7, 2021, 10:22am UTC](https://discuss.tinyml.seas.harvard.edu/t/trash-classification-with-tinyml/433 "2021-03-07T10:22:06Z")\ **Posts on this page:** 1\ **Showing post:** 2
**Author:** ![vjreddi](https://yyz1.discourse-cdn.com/flex027/user_avatar/discuss.tinyml.seas.harvard.edu/vjreddi/32/35_2.png) [@vjreddi](https://discuss.tinyml.seas.harvard.edu/u/vjreddi)\ **Post date:** [March 7, 2021, 3:03pm UTC](https://discuss.tinyml.seas.harvard.edu/t/trash-classification-with-tinyml/433/2 "2021-03-07T15:03:03Z")
Great project! 👏👏👏 I really need this in my trashcan, for real. My family is always complaining that I am putting the wrong things into the wrong boxes – you’d think after years of doing it my massive neural network (a.k.a brain) would’ve figured this out but clearly there is something off 🙂 Thanks for sharing! You guys should do a video post and submit it to the TinyML competition! You’ve already got one fan 🙂 > [@TinyMLx Course 3: \[Post 1\] - Call for TinyML edX Projects, Guidelines](https://discuss.tinyml.seas.harvard.edu/t/tinymlx-course-3-post-1-call-for-tinyml-edx-projects-guidelines/410): > > TinyML applications The future of machine learning is tiny and bright. When we first announced the [HarvardX TinyML course](https://www.edx.org/professional-certificate/harvardx-tiny-machine-learning), we set out to not only openly teach the fundamentals of a nascent technical area and foster active, hands-on learning, but also to connect participants with the bleeding edge of TinyML development. Perhaps one of the most exciting things about TinyML is that the field is young and there is so much to do that has yet to be done. At this point, anyone can make a meaningful im… --- _[View the full topic](https://discuss.tinyml.seas.harvard.edu/t/trash-classification-with-tinyml/433)._