LearnFlat · 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

Understanding Image Data through Excel and Python

PowerPoint Automation with Python

Creating Photo Mosaics with Python and Excel

Support Vector Machines for Anomaly Detection in Python

Parallel Programming in Python: Practical Multiprocessing

Support Vector Machines (SVM) with Python and Sklearn

Scikit-Learn Essentials: A Practical Machine Learning Glossary

Building an AI Plant Doctor App with Streamlit, PyTorch, and MongoDB Atlas

Python Programming for Linux Systems and Automation

Succeeding on the SWAYAM Learning Platform

Python Development Environment and First Steps

Support Vector Machines (SVM) for Machine Learning Classification

Python Objects and Classes: Foundations for Artificial Intelligence

Python GUI Development for Windows

Python for Beginners: Web Crawling and Data Extraction

Python Automation: PyAutoGUI & BeautifulSoup Basics

Python Automation for Hwp: Office Task Recipes

Python Image Processing with OpenCV

Python Fundamentals: Efficient Coding

Python Essentials: Bite-Sized Learning for Beginners

Fundamentals of Brute-Force Scripting with Python

Python Virtual Environments: venv and Anaconda

Hands-On gRPC Services with Python

Python Automation in QGIS: Vector Workflows