Coding Projects by Soumalya Das

Gesture-Controlled Scrolling System Using Hand Gestures

In this assignment, you will build a real-time gesture control system that allows you to scroll up and down using hand gestures. Using MediaPipe for hand tracking, PyAutoGUI for controlling scrolling, and OpenCV for real-time image processing, you will create an interactive gesture-based controller that tracks your hand movements and scrolls based on specific gestures (open palm for scroll up, closed fist for scroll down).

Implementing Gesture-Based Volume and Brightness Control

In this assignment, you will extend your understanding of gesture control by building a system that adjusts your computer’s volume and screen brightness using hand gestures. By calculating the distance between the thumb and index finger, you will control the volume and brightness of your device in real-time, providing interactive feedback on the screen.

Building a Gesture-Controlled Photo App with Real-Time Filters

In this assignment, you will enhance your gesture-controlled photo app by experimenting with different hand gestures to capture images and apply dynamic filters (grayscale, sepia, negative, blur). You will implement the logic to switch between different filters based on hand gestures, such as thumb touching the index finger for photo capture and thumb touching any other finger for changing filters.

Implementing Gesture Control with OpenCV

In this assignment, you will extend your knowledge of gesture control by building a simple real-time gesture interaction system. Using OpenCV, you will track hand gestures using color filtering and contour detection techniques. You will experiment with capturing specific gestures and triggering interactive actions based on those gestures, such as moving shapes or drawing lines.

Enhancing Your Image Processing with Color Filters and Edge Detection

In this assignment, you will continue experimenting with the image processing techniques covered in the lesson, focusing on applying color filters and performing edge detection on images. You will dynamically toggle between filters and edge detection methods using keyboard input and observe the effects on real-time image processing.

Image Manipulation Challenge

In this project, you will apply fundamental image manipulation techniques, including rotation, cropping, and brightness adjustments, using OpenCV. This project will deepen their understanding of how these operations work and how they affect images in the context of computer vision and AI applications.

Real-Time Face Detection and Emotion Detection

In this project, students will extend real-time face detection by adding emotion recognition. Using the OpenCV face detection technique, students will integrate a pre-trained emotion recognition model to classify facial expressions.

Real-Time Color Filter Application with Adjustable Parameters

Extend the real-time color filter application by adding new features, such as adjusting the intensity of each color channel dynamically, experimenting with custom key presses, and saving images with applied filters.

Enhancing Edge Detection and Filtering for Real-World Applications

Build on the concepts learned in class by developing an application that allows users to upload images, apply edge detection techniques (Sobel, Canny, Laplacian), and test different filtering methods (Gaussian, Median) interactively.

Annotating Image Width

Learn how to apply annotation techniques to measure and visualize image width using bi-directional arrows. This project reinforces the concepts of drawing geometric shapes, adding annotations, and understanding dimensions in images.

Image Manipulation Challenge

Learn how to apply basic image manipulation techniques like rotation, cropping, and brightness adjustments, while also gaining experience with image transformations.

Image Resizer

Create a Python script using OpenCV to resize an image into three predefined sizes, display each resized image, and save it.