Basic Banking App: Create a simple mobile app which has the following specs. ◇ Start with creating dummy data in mobile (sqlite) database for upto 10 users. User table will have basic fields such as name, email, current balance etc. Transfers table will record all transfers happened. ◇ Flow: Home Screen > View all Customers> Select and View one …

CI/CD CLOUD COMPUTING: Read up about AWS or Azure. ◇ Write up about the steps of setup and essentials of AWS EC2 or Azure VM (one page step by step). ◇ Create an EC2 or azure VM instance and access it through ssh from your pc over internet. ◇ In the EC2, deploy and run any application (a website with tomcat/spring boot) or python based project. …

Implement an image color detector which identifies all the colors in an image or video. ● Below resources are just for references you can use any library/approach to achieve the goal. ● Resources: link1 ● Task submission: 1. Host the code on GitHub Repository (public). Record the code and output in a video. Post the video on YouTube 2. Share lin…

A dynamic banking web application to transfer money to users.

TSF internship task 1. Creating the application which perform basic banking transaction.

Task1: Prediction using Supervised ML

GRIP - Graduate Rotational Internship Program

This app was developed to complete Task #5 of the Graduate Rotational Internship Program (GRIP) by The Sparks Foundation.

TSF internship task 2 data science.From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually

Predict the percentage of a student based on the no. of study hours.

About This app was developed to complete Task #5 of the Graduate Rotational Internship Program (GRIP) by The Sparks Foundation.

The Sparks Foundation Data Science and Business Analytics Internship Tasks.

From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.

🤖 Computer Vision & IoT Internship Jan21 🦅

Performing 'Exploratory Data Analysis’ on dataset of Indian Premier League (IPL) Sport.

GRIPMAY'21 Task2- Prredict Iris flower species(iris-sesota,iris-versicolor and iris-virginica) with K-means Clustering using Python.

Implement a real time Social Distancing detector which can identify the distance between two individuals in a crowd. ❖ Below resources are just for references you can use any library/approach to achieve the goal. ❖ Resources: link1 link2 ❖ Task submission: 1. Host the code on GitHub Repository (public). Record the code and output in a video. Pos…

Graduate Rotational Internship Program by The Sparks Foundation. During this Internship, I have worked on projects related to Prediction using Supervised and Unsupervised Machine Learning.

This app is made to complete Social Media Integration (Task #5) for Graduate Rotational Internship Program at The Sparks Foundation. This app's functionality is to display UserName, Email ID and Profile picture when a user logs in the app through G-Mail or Facebook.