🌱 From Machine Learning Model to API Testing
This is one of my recent projects where I integrated a TensorFlow Lite (TFLite) leaf disease classification model with a Python-based Flask application and tested the model inference through Postman.
The current prototype allows an...
Attendance Monitoring Mobile Application
A newly developed Android mobile application uploaded to the Google Play Console as a team project. The application is designed to streamline attendance monitoring by using location-based verification to determine whether a student is...
Lightweight Context-Aware Authentication Model for IoT
Developed and evaluated a lightweight machine learning model for context-aware risk classification in IoT authentication. The notebook covers data preprocessing, feature selection, model training, performance evaluation, and...
This is my microservice of my Machine Learning model exported as TFLite about corn leaf disease classification and severity scoring. I used Python and Postman to create this microservice.
Good day everyone. I am new to this platform, by the way I am a part-time mobile app developer.