PickAClass · AI Applications (Interdisciplinary) · AI for Agriculture (AgriTech)

Automated Pest & Disease Detection

Build and deploy computer vision models to automatically detect and identify pests, weeds, and diseases from images, enabling early intervention and targeted treatments.

Automated Pest & Disease Detection

Python Binary File Handling: Secure and Efficient Cloning

Python Facial Analysis: Building Virtual Makeover Applications

Virtual Makeup and Blush Application with Python and MediaPipe

Python API Integration: Fetching Actor Data with the TMDB API

Python File Handling: Building a Secure Binary File Cloner

Python Properties: Managing Attribute Access and Validation

Thread-Safe Python: Building a Concurrent Inventory Counter

Python Library Setup for Barcode and Optical Label Processing

Python Descriptors: Foundations of Clean and Reusable Code

Facial Recognition and Analysis in Python

Python Object-Oriented Programming: Build a Delivery Fleet Tracker

Deploying PyTorch Models with FastAPI and REST APIs

Virtual Hair Color Changer with Python and MediaPipe

Autoencoders for Nonlinear Dimensionality Reduction in Python

Support Vector Machines for Classification: A Beginner's Guide

Troubleshooting Image Classifiers: Training Issues and Fine-Tuning

Python Descriptors: Customizing Attribute Access and Object Behavior

Defeating Overfitting in Machine Learning

Python Plugin Systems: Automatic Registration with Metaclasses

Distributed Deep Learning with JAX and Flax

Python Metaclasses: Automating Method Performance Tracking

Python Descriptors: Managing Object Attributes with Precision

Python Descriptors: Managing and Tracking Attribute Changes

Python urllib: Practical Web Requests and URL Parsing