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

Multiclass Classification with scikit-learn and SVMs

Linux Kernel Dump Analysis with Crash

Python Project: Build a Student Performance Tracking System

Python Face Analysis: OpenCV, MediaPipe, and DeepFace

Python Concurrency for Parallel Hyperparameter Tuning

Operator Overloading in Python: Build a Custom Vector Class

Detecting ArUco Markers and AprilTags with Python and OpenCV

Working with TMDB IDs for Media and Entertainment Apps

Python Event Search: Ticketmaster Discovery API Integration

Python Environment Setup and Package Management with Anaconda

Python Face Shape Detection and Landmark Analysis

Build a Duplicate File Finder with Python and Hash Tables

Balancing Class Imbalance with NearMiss in Python

Python Generators for Memory-Efficient Data Processing

Barcode Recognition in Python: Read 1D and 2D Barcodes

Memory-Efficient Python: The Flyweight Pattern for IoT Data

Python Scripting for Automated Authentication Auditing

Face Alignment and Preprocessing with MediaPipe and Python

Risk Scoring with Python and the Clearbit API

Python API Integration: Fetching Movie Details with TMDB

Tuning Histogram Gradient Boosting with SMBO

Evaluating Bayesian Networks with ROC Curves in Python

AutoAugment for Image Classification in PyTorch

Python super(): Master Object-Oriented Inheritance