Project Board

Create a web page (Asp.NET) with text area, into which text can be typed or pasted.  -
Another text box can accept a ‘search string’. When a button is clicked, the text in the text area is searched for the ‘search string’ and the number of occurrences is displayed.

Word comparison is case insensitive, which means, ‘cat’ and ‘Cat’ and ‘CAT’ are the same word.

Create a web page (Asp.NET) with drop downs and a ‘swap’ button.  -
Clicking on the button should swap the contents of the two dropdown boxes.

Create a web page (Asp.NET) to check if a given string is a valid email address or not
(without using regular expressions).  -

A valid email address should should satisfy the following conditions :
• The email address must have @ character
• Only one @ character should be entered
• The email address must have .(dot) character
• There must be atleast 2 characters between @ and .(dot)

If you write the program using regular expression, kindly satisfy the following conditions also :
a. Email id should have 4 digit number before the @ symbol
b. At least 2 character after the @ symbol

Your Task is to create a 3D portal using Augmented Reality that connects a virtual environment with the Real World, the user can Travel from one part of the world to another and vice versa. When the user enters the portal he/she can experience whether a real 360 video or else a 3D model environment. The choice is up to the developers  

Tools:

    The Developer is encouraged to use the following tools,

1. Unity (Game Engine)
2. AR Core/AR Kit

   Poratl 3D model

 solve and get chance to work with juspay  -

MEETUTU - ​The joy meeting an expert teacher, for the craving learner.

Create an android application that connects people in 1 km vicinity matching those who can Teach with

those who want to Learn. The app should allow anyone to signup for teaching / learning.

Screens

Signup Screen

•  Email, Name (sign in with google) ­ required
•  Mobile number ­ required
•  I can teach (keywords) ­ optional

1.  Provide an option to pick keywords from the your linkedin account
2.  Provide an autocomplete text box that helps adding keyboards

•  I want to learn (keywords) ­ optional

1.  Provide an autocomplete text box that helps adding keywards

Local Scan Screen

•  Show map with the following information displayed in realtime
•  All the experts who can teach you (use icon like ‘T’)
•  All the seekers whom you can teach (use icon like ‘L’)

Request Meet Screen

•  A seeker / wannabe teacher can request a 1:1 meeting.
•  Ability to chat & share location (connect with whatsapp?)

General Instructions

•  UI/UX Design: Take all the freedom to design the UI that you think is right. Unleash your creativity.
•  Server:

1.  Preferably use a hosted server like Google Appengine / Parse / Linode etc. In that is not possible, you can run the server in your own laptop.
2.  Perferably use websockers for instant realtime updates.

•  You can form teams up to 3 members per team.

 solve and get chance to work with juspay  -
Build Gamified Interactive Resume
Create Gamified and Interactive Personal Resumes with JavaScript and Advanced HTML Elements

 solve and get chance to work with juspay  -
Develop an Online Music Player using JavaScript and Advanced HTML Elements
Develop an Online Music Player with Advanced Features

Machine learning projects :
Compare the performance of Linear, Polynomial, RBF kernels on A9A dataset (https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html#a9a) . It is required to find the optimal kernel parameters (C, gamma, degree) using cross validation. For the best parameter setting, the expected output is a table with P,R,F1 scores for both positive and negative classes.

Machine learning projects :
Using 20 Newsgroups dataset ( http://qwone.com/~jason/20Newsgroups/), demonstrate a method for finding similar news articles, given a sample news article as a query.

Machine learning projects :
Demonstrate an image compression strategy just by using Singular Value Decomposition technique applied on the sample image Grey scale pixel matrix. Identify the best K value (parameter of the SVD), for which best compression without sacrificing image quality is achieved.

Machine learning projects :
Using Logistic Regression (L1 regularization), identify the key feature columns (feature selection) for the Epsilon dataset (https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html#epsilon). Compare it against the features selected by Decision Tree method (features used for splitting data are the selected features).

Interactive Image Vamp Up ., http://tympanus.net/Tutorials/ImageVampUp/

Your own music player

Social network

Contribute To Open Source chat application

Basic forum:Login/Register, make a topic, leave replies, edit content, delete content. Create different permissions for different users – simple users should only be allowed to edit (not delete) the topics and replies that were created by them. Admins should be able to delete and edit anything.

Tetris.

Session reader is a tool for LAMP and WAMP services that displays all current session information on the screen. It is useful for debugging Web applications.

build a blog engine for yourself that you will use to write your own blog.

Create A Browser Extension.

Web based instant messenger

Web based instant messenger is the chat application which is developed using PHP and MySQL. This is the web application which works in all the browser. This project works like Yahoo messenger or google hangout.  This has options of quick and easy way to chat with all members.

Features of the project:

It is the web application which works like standalone project.

This is useful for community websites where user can chat quickly and easily.

Web based messenger can be integrated with any site with small changes.

This is very similar like Yahoo messenger or google hangout.

This will display how many staff logged in, Number of online users and number of offline users.

If the person is offline then the user can send offline message to the user.

Modules of the project:

Registration module: In the registration module user must enter login id, password, email id, name, etc. after the registration user can login to the system.

Login module: The registered user can login to the system by entering login id and password. After the login the system redirects to chat window.

Lost login module: This is the forgot password module where user can recover password by entering login id and password.

Profile module: User can update their profile details.

Chat module: The chat window displays all the user details and It categorizes online users and offline users in the chat window.

Message module: In the message module the user can send offline messages. If the person is offline then the user can send offline messages to the person. Offline messages stores in the messaging module.

The Movies Dataset-https://www.kaggle.com/rounakbanik/the-movies-dataset

Create a Film Recommendation Engine based on given dataset.

QuizBuilder
Build a quiz-crafting tool. It’ll be the go to place to make viral quizzes like those from Buzzfeed or the infamous “Harry Potter House Sorting Quiz.

MusicPlayer
Use the Spotify api to create an application that lets you discover music. It will help you find top songs, trending artists, and explore new genres. If you want to get really advanced, how about a music suggestion feature?

MemeGenerator
Make an advanced interface for creating memes! Allow the user to upload an image, write a caption, and build a meme with the Imgflip api. To take it to the next level, allow the user to share their meme on Twitter, Facebook, and other social platforms.

Tweetdeck
Plenty of us have multiple twitter accounts. There’s one for your personal life, work, side startup, and more. Managing them all can be tricky. So build an interface that allows you to see the feeds from them all on one page. Better yet, add liking, tweeting, and retweeting capabilities.

EventFinder
Create a dashboard where users can publish upcoming events. Also, enable an invitation feature through emails. To get a good list of upcoming events, use the Eventbrite api.

CustomForum
Build a forum application where users can submit topics and comment on them. To step it up a notch, add a liking feature. Mix in direct messaging if you’re extra ambitious.

MyMedium
Build your own version of medium from scratch. Users can create stories, “heart” them, and follow other users.

YouTubeDirect
Build your own version of YouTube using their api. Use it to only show videos from channels you specify. For extra utility, make a parental feature that allows you to block certain channels.

CREDIT CARD FRAUDULENT DETECTION:(data mining)

The system stores previous transaction patterns for each user.Based upon the user spending ability and even country, it calculates user’s characteristics.More than 20 -30 %deviation of users transaction(spending history and operating country) is considered as an invalid attempt and system takes action.

MAZE GAME USING ARTIFICIAL INTELLIGENCE(AI)
  Pathfinding algorithm addresses the problem of finding the shortest path from source to destination and avoiding obstacles. One of the greatest challenges in the design of realistic Artificial Intelligence (AI) in computer games is agent movement. Pathfinding strategies are usually employed as the core of any AI movement system. In this work, A* search algorithm is used to find the shortest path between the source and destination on image that represents a map or a maze.

DETECTION OF PHISHING WEBSITES (MACHINE LEARNING)

COMPUTER MALWARE DETECTION (MACHINE LEARNING)

         This project aims at successfully distinguishing between malware files and clean files that are available in the computer. It can be done using machine learning algorithms such as logisitic regression, support vector machine, random forest etc.,

HANDWRITTEN DIGIT CLASSIFICATION USING MNIST DATASET (MACHINE LEARNING)

Dataset

            Mnist dataset is small in size so it easy for it to fit into computer. Mnist dataset is like the “hello world” for image classification problems. Given handwritten characters as input to the machine learning model,it identifies the character and gives it in textformat

CUSTOMER TARGETTED ECOMMERCE (MACHINE LEARNING)

                  For making strong relationship with the users it is very important to focus on the customer as a whole and making sense of a flood of real-time information that goes well beyond demographics or shopping behavior. User need to register with basic registration details to generate a valid username and password. After the user logins, it can view all the products that are recommended on the homepage compiled by the system based on user’s information. From the recommended products, the user can even further view its details and then if interested to buy, the system gives add to cart option for purchasing the product.

SECURE E-LEARNING (MACHINE LEARNING AND NETWORK SECURITY)
                             e-learning platform has been divided into two important part; first part is learning data has to be secured, for securing data we has used file encryption and decryption technique, and second part comes use of data mining techniques and concepts for huge data storage.

CRIME DETECTION USING MACHINE LEARNING (MACHINE LEARNING)
                       The system proposes to extract data from crime record repositories, on which they intend to perform data mining. Data classification and regression algorithms then help in forecasting and predicting this is proposed to be done by first training a set and then applying the learned rules on the test set in order to determine the predicted output. Using this, law enforcement agencies can better understand how the crime pattern across a certain region, or interval of time is, and using this data, such agencies can take proactive action to stem the rise of particular crimes in particular regions, or during particular times.

AUTOMATED IMAGE CAPTIONING (DEEP LEARNING)

LIVE OBJECT DETECTION (DEEP LEARNING)

               This is a deep learning based project which is able to find a realtime object and name it. It requires a webcamera through which the model views the object and detects it. It can be enhanced such that even if multiple objects are available in a single frame the model should be able to find all those objects.

OBJECT RECOGNITION FOR BLIND PEOPLE(DEEP LEARNING)

            Given an image as input the model identifies the object and converts it to a text using the traditional convolutional neural network and recurrent neural network and then the text output of RNN is given as input to a text to speech convertor and thus this can be used by blind people as it reads out the identified object.

FACE RECOGNITION (DEEP LEARNING)

            Face Recognition is a recognition technique used to detect faces of individuals whose images saved in the data set. Face recognition has always remained a significant focus of research because of its non-meddling nature and because it is people’s facile method of personal identification. Algorihms like CNN and RCNN can be used for this.

PREDICTING AND SIMULATING TRAFFIC (BIG DATA ANALYTICS)

               The problem of simulating and predicting traffic for a route has been a long-standing problem. Models for correctly simulating traffic with real-time data have been made. However, taking it further, there is a need to develop models which can properly predict traffic. Some frameworks to start with are OpenTraffic and SuMO.

NETWORK-BASED INTRUSION DETECTION (NETWORK SECURITY)

                        Network-based intrusion detection, also known as a network intrusion detection system or network IDS, examines the traffic on your network. As such, a typical NIDS has to include a packet sniffer in order to gather network traffic for analysis. This comes under network security domain.

SMS SPAM CLASSIFICATION:(Machine learning)

        This is a machine learning project is to classify the spam and ham sms from the dataset.Load the dataset,preprocessing(extracting repeating words) and split data for train and test.This is supervised learning so with the help of label we have to train the model and during testing  the model classifies the spam and ham sms.

EMOTION RECOGNITION:(Deep Learning)

DATASET:

                       This is a deep learning project uses CNN to classify the image or video or audio(dataset is given for images) according to emotions(sad,happy,anger etc).It is a supervised learning in which the emotions are labelled as 0,1,2 etc as sad,happy respectively.

CHATBOT:(ARTIFICIAL INTELLIGENCE)

                  A Student bot project is built using artificial algorithms that analyzes user’s queries and understand user’s message. This System is a web application which provides answer to the query of the student. Students just have to query through the bot which is used for chatting. Students can chat using any format there is no specific format the user has to follow. The System uses built in artificial intelligence to answer the query.

QUESTION PAPER GENERATOR SYSTEM:(Artificial intelligence)

                   It allow administrator to input a set of questions and respective answers for option ticking. We also allow admin to provide weight age and complexity for each of these questions. After this the questions are stored in database along with their weight age. Now on question paper generating time the admin just has to select the percentage of difficulty. On this selection the system selects questions randomly in a way that their weight age makes up for 100 marks and according to difficulty that admin chooses the questions are chosen based on their complexity level.

PRODUCT REVIEW ANALYSIS:(data mining)

                   Product review analysis is a web application which consist multiple products added by admin to review an users need to rate and review them. The System takes reviews of various users, based on their personal opinion, system will specify whether the posted product is good, bad, or worst. 

Front End Developer -

https://xd.adobe.com/view/8d8f133f-3748-4f20-7920-07a90b826294-fbbe/?fullscreen

Create a Web page by following the design in the above link. Read the User Data from a JSON file. Must use Vue.js and D3.js. Use dummy data for Radar Chart, Bar Chart and Heatmap.

Back End Developer -

Write an Django app with simple search box and extract and upload button. The webapp should connect to YouTube video via it's search API and extract the results for display. Also it should save the results in PostgreSQL or MySQL in a structured format. Feel free to use any frontend frameworks and go for your own db design.

Create a simple e-commerce platform in angular 8 with basic pages(Home Page,List Product,Create Product,Edit Product and View Product with ID), All the HTML designs are in zip
folder attached with this mail, All the required API are listed in this document below
Login
POST Method
DATA : {
"email":"admin@gridsandguides.com",
"password" : "admin@123"
}
Url : https://angulartaskapp.herokuapp.com/api/app-users/login
Product List
GET Method
Url : https://angulartaskapp.herokuapp.com/api/products
Create Product (Authenticated users only)
POST Method
Data : {
"productName": "string",
"ratting": 0,
"inStock": true,
"category": "string",
"description":"string",
"price": 0
}
Url : https://angulartaskapp.herokuapp.com/api/products
Edit Product (Authenticated users only)
PATCH Method
Data : { "productName": "string"}
Url : https://angulartaskapp.herokuapp.com/api/products/
Get Product by ID
GET Method
Url : https://angulartaskapp.herokuapp.com/api/products/.

Create a simple e-commerce platform in React with basic pages(Home Page,List Product,Create Product,Edit Product and View Product with ID)