| # Soil-Type-Classification for Crops Suggestion π³π²πππ΄ | |
| # Model deployed as Web-Application API at:π―ππ³ <br> | |
| https://soilnet.herokuapp.com/ | |
| # Code Notebook at Kaggle: πππππ§Ύπ» <br> | |
| https://www.kaggle.com/omkargurav/soil-type-classification-soilnet | |
| <br> | |
| # Dataset available at: ππππΎ <br> | |
| https://www.kaggle.com/omkargurav/soil-classification-image-data | |
| For this project a deep learning model is trained with 903 images of four different types soil. "Alluvial", "Black", "Clay" , "Red". All images are collected | |
| from Google Search Engine and crafted and filtered. | |
| Based on the type of the Soil Crops will be suggested. Model is deployed on . | |
| # Acknoledgement: ππ‘π·ππ <br> | |
| I am expressing my gratitude towards Sir  for his super clear explanation about Neural Network in | |
|  and | |
|  | |
| I am also thankful to Sir  for | |
| his model deployment explanation at . | |
| # Click on Below Image for Project Demo: ππππΊπ‘ <br> | |
| [](https://youtu.be/gnKmbgbPRJA) | |
| # Screen-Shots:π₯π¨βπΌπ· <br> | |
| .png) | |
| .png) | |
| .png) | |
| .png) | |
| .png) | |
| .png) | |
| .png) | |
| .png) | |
| .png) | |
| # s o i l _ t y p e _ |