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1. plant_detection_classification plant_detection_classification Public

   Image classification project using Machine Learning (ML) and predominantly Deep Learning (DL) machinery aiming at plant (species & diseases) detection.

   Jupyter Notebook

2. llm_transformers_mlops llm_transformers_mlops Public

   Boilerplate project for deploying and scaling transformer-based models using MLOps tools like MLflow, Ray, and RabbitMQ. It integrates model management, monitoring, and distributed deployment techn…

   Python

3. mlops_deep_learning_jul24 mlops_deep_learning_jul24 Public

   This project focuses on plant detection using a machine learning model trained on a large dataset of images. Developed as part of a DataScientest training, our team of three implemented MLOps pract…

   Python

4. drift_monitoring_evidently drift_monitoring_evidently Public

   A drift monitoring project using Evidently to detect data quality issues and monitor ML models. Includes test suites, performance reports, and interactive dashboards. Built during the DataScientest…

   Jupyter Notebook

5. smart_shop_services smart_shop_services Public

   A cross-platform mobile application for the Smart Shop Point of Sale (POS) system, built using Flutter. Manage orders, track inventory, and generate reports on Android, iOS, tablets, and iPads. Sea…

   Dart 1 3

6. doctor_plus doctor_plus Public

   Doctor Plus is a comprehensive mobile app developed in partnership with the Ministry of Health in Afghanistan. It enables patients to search for doctors, book appointments, and manage their medical…

   Dart