The objective of this competition is to build a machine learning model to identify the agricultural keyword (which may be in English or Luganda) spoken in an audio clip. The keywords relate to crops, diseases, fertilizers, herbicides or other general agricultural topics., have a look on Zindi.
In each Folder in this repo, There are instructions in the readme for running the training and the inference.
After training and predicting the result of each model. "blend.ipynb" will blend the result and give as output "blend.csv" which is the final result.
If there is any problem with the solution, feel free to contact us.
Look for the team name : LMrab3in
Rank : 2/255
| Name | Zindi ID | Github ID |
|---|---|---|
| Azer KSOURI | @ASSAZZIN | @Az-Ks |
| Ahmed Attia | @ahmedattia | @ahmedattia |
| Nacir Bouazizi | @patata | @NacirB |
| Mokhtar Mami | @mo5mami | @Mo5mami |