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Coding Projects by Bhargav Venkat

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.

Petrol Consumption Prediction using ANN

Create a neural network that can help you predict the house price using Keras. All the data is numerical, free of null values, so data preprocessing is not required.

Forward Propagation

Perform the forward propagation for the given neural network and find the output.

My First Neural Network

Students have to create a rough diagram of a neural network and name all the layers and other terms according to the dataset.

Applications of Artificial Intelligence

Students have to create a detailed document about any two applications of Artificial Intelligence. It may include any example - Google Translator, Alexa, Self Drive Cars, or Sofia the robot.

K-Means clustering on live selling dataset

Students must implement the K-Means clustering algorithm to the Live selling dataset. Then, try to find out the accuracies by using the different numbers of clusters.

Applications of Unsupervised Learning

Students have to explain in brief the Applications of Unsupervised Learning Algorithms. You can use appropriate images for your ideas and explanations.

Apriori Algorithm on Grocery Store dataset

Students must implement the Apriori Association algorithm to the grocery store dataset and find out the association rule.

DBSCAN clustering analysis

Students must implement the DSCAN clustering algorithm on the customer dataset and make the unique clusters and visualize them.