Coding Activities by Sreevatsav V

Back end for Registration user

In this activity, you will do the backend part of the user Registration application.

Back end login and logout

In this activity, you will do the backend part of the user login and logout application.

Front end of user login Application

In this activity, you will do the frontend part of the user login application.

Make a recommendation Engine Model

Write examples of Recommendation engines that can be used to make the user comfortable

Text Summarizer

Let’s create a project that can summarize the text as humans. Text Summarization involves condensing a piece of text into a shorter version, reducing the size of the original text while preserving essential information and the meaning of the content.

Maruti.NS Stocks Prediction

Let’s create a project that can predict the stock price of Maruti Company. 1. Import Libraries. 2. Read the CSV file and Take input from the user that he wants to predict. 3. Make functions to calculate RSME and Accuracy Score. 4. Apply the KNN, Random Forest, Multiple Linear Regression, and Logistic Regression. 5. Find out the best algorithm among these based on RSME and Accuracy Score.

Lane Line Detection on an image

Let’s create a project that can detect the lane line of the road in an image. 1. Load a file and read an image. 2. Convert original image to grayscale image. 3. Apply Gaussian Blur to reduce the noise in the grayscale image. 4. Apply the Canny method. 5. Make a function to find a region of interest—the area where we want to see the lanes. Then, apply the bitwise AND operation to select the region of interest through a transform to find straight lines in the image. 6. Do some optimization to refine the detection of lanes.

Famous Face Recognition 1

Let’s do this activity to recognize famous unknown faces.

Capstone 1

You have to create three tables- Salesman, Customer, and Orders and have to perform these queries: 1. Write a query to find customers with their names, salesmen with their names, and city that lives in the same city. 2. Find the names of all customers along with the salesmen who work for them 3. Display all those orders by the customers not located in the same cities where their salesmen live. 4. Find out each order number followed by the name of the customers who made the order. 5. Sort out the customer and their grade who made an order. Each customer must have a grade and serve by at least a salesman who belongs to a city. 6. Write a query which produces customers with their: name, city, commission, and salesman, who served by a salesman and salesman works at a rate of the commission within 12% to 14%, respectively. 7. Write the query which Produces all orders with the order number, customer name, commission rate & earned commission amount for the customers who carry their grade is 200 or more and are served by an existing salesman. 8. Display all customers with orders on October 5, 2012.

Customer Cupcake Shop Bot

Let’s build a simple customer cupcake shopbot that we can add to our website. Use all the steps in the Dialogflow mentioned above.

Funny Minions 1

Let’s make some funny mirror images of minions. 1. Read the image. 2. Create the virtual camera object. 3. Generate a mirror for each 3D point, and Z coordinate as Z = 20*exp^((x/w)^2 / 2*0.1*sqrt(2*pi)) 4. Display the funny mirror image.

Face Detection using OpenCV

Let’s detect some faces in an image using the HAAR Cascade. 1. Read the image. 2. Convert the Original image to a B&W image. 3. Print the coordinates where the face is located. 4. Draw a rectangle on the detected face.