Harshit Joshi

This is final year master's project which will be completed by May 2016.

Goal of this project is to provide micro-level educational guidance and resources to the students and a comprehensive dashboard to the other stakeholders for efficient decision making.

Project consists of data monitoring and collection system which will monitor behavior of the users and collect data from various data sources.

We will apply data mining concepts such as knowledge modeling, user behavior… Show more

This is final year master's project which will be completed by May 2016.

Goal of this project is to provide micro-level educational guidance and resources to the students and a comprehensive dashboard to the other stakeholders for efficient decision making.

Project consists of data monitoring and collection system which will monitor behavior of the users and collect data from various data sources.

We will apply data mining concepts such as knowledge modeling, user behavior modeling, user experience modeling, user profiling, domain modeling, learning component analysis, trend analysis and adaptation and personalization.

Planned Tools & Technologies
● Backend: Node.JS, Java, Kraken.js
● Front End: HTML5, CSS3, JavaScript, JQuery, AJAX, XML, JSON, Angular.JS
● Communication Layer: REST Web-Services
● Cloud Providers: AWS, Open shift, Mongo Labs
● Version Control: Github
● Others: JUnit, Mocha.js
● Database: MySQL/Oracle, Mongo DB, Redis
● IDE: Eclipse, Spring Tool Suite
● Performance Optimization: Connection Pooling, DB Partitioning, Caching
● Machine Learning Tools: Weka, Mahout Show less

Dynamic Scale Out/In of Virtual Machine, on which Hadoop jobs are running.

Optimize the performance of VMs by crating virtual machine dynamically based on the Hadoop Job requirements.

Prediction of Breast Cancer using Historical Data and Lifestyle Parameters.
The System will analyze and predict the breast Cancer in a user based on their Gene and other Risk Factor Information
The System will analyze the DNA sequence and predict as to whether a person needs to get
mammography done or not.
Applied Apriori , Classification, Clustering algorithms.
Created Decision Tree for prediction.
Developed in SpringMVC-MongoDB. Deployed in Openshit cloud… Show more

Prediction of Breast Cancer using Historical Data and Lifestyle Parameters.
The System will analyze and predict the breast Cancer in a user based on their Gene and other Risk Factor Information
The System will analyze the DNA sequence and predict as to whether a person needs to get
mammography done or not.
Applied Apriori , Classification, Clustering algorithms.
Created Decision Tree for prediction.
Developed in SpringMVC-MongoDB. Deployed in Openshit cloud platform.

DEPLOYMENT LINK:

http://breastcancerprediction-teamsjsu.rhcloud.com/BreastCancerPredictionV3/Login

GITHUB URL:

https://github.com/hpj1992/DiseasePredictionTeam11

MOTIVATION VIDEO LINK:

https://www.youtube.com/watch?v=lbXxUN24U_g
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Prototype of Pinterest.com

User can create their own boards. Private and Public.

User can specify the privacy of the group. Approve or reject the request of secret group.

Upload Images or GIFs in their board.

Technology Stack:

Spring-MVC, MongoDB, HTML, CSS, JavaScript, Jquery.

http://snippetshare-harshitjoshi.rhcloud.com/snippetshare

Software Project management in Scrum-Kanban-Waterfall.

URL: http://cmp281team8-harshitjoshi.rhcloud.com/

Project Demo: https://youtu.be/Yqp8hpHnsmc

User can manage their project in any of the model. User can manage different project with different models.

Provided Burn-down Chart, Expected Completion Date and Current Project Status for all model.

Developed in NodeJS-MySQL-MongoDB-REST-Bootstrap-Jquery

Deployed in Openshift Cloud platform. Used MongoLabs… Show more

Software Project management in Scrum-Kanban-Waterfall.

URL: http://cmp281team8-harshitjoshi.rhcloud.com/

Project Demo: https://youtu.be/Yqp8hpHnsmc

User can manage their project in any of the model. User can manage different project with different models.

Provided Burn-down Chart, Expected Completion Date and Current Project Status for all model.

Developed in NodeJS-MySQL-MongoDB-REST-Bootstrap-Jquery

Deployed in Openshift Cloud platform. Used MongoLabs for mongoDB.

Github: https://github.com/sanket2407/MultiTenentProject/tree/master/MultiTenantFinalProject


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The management system where customer can give project to company and the system/admin allocates the team to that particular project and each Employee,Customer and Admin has own profiles...

It is a website which provides Buying-Selling-Auction of old as well as new products among wide range of categories.
Modules: 1) panYa.com 2) paNyaPal.com

In order to provide secure money transaction , panyapal.com ( like Paypal) module was developed including dummy bank.
Both (panya.com & panyapal.com) were on different servers, providing 3-tier architecture as a whole.
Moreover,while developing MVC architecture was completely followed.

Auction Manager is currently an desktop application where different users does auction of valuable products at a specified time simultaneously.

A web application for trading of products of all type and of all categories.

Technologies Used: Node.js, REST, EJS, Jquery, Javascript, HTML5, CSS3, SQL.

Techniques Used: Asynchronous Programming, AJAX, Data Encryption using MD5, Unit Testing( using Mocha.js)

Optimization Techniques: Connection pooling, SQL Caching & Data Caching using Redis, Vertical Partitioning of DB, SQL Tuning.

Performance Testing:
- Tested application using JMeter for 5k, 10k, 15k requests… Show more

A web application for trading of products of all type and of all categories.

Technologies Used: Node.js, REST, EJS, Jquery, Javascript, HTML5, CSS3, SQL.

Techniques Used: Asynchronous Programming, AJAX, Data Encryption using MD5, Unit Testing( using Mocha.js)

Optimization Techniques: Connection pooling, SQL Caching & Data Caching using Redis, Vertical Partitioning of DB, SQL Tuning.

Performance Testing:
- Tested application using JMeter for 5k, 10k, 15k requests and found that application was capable of handling all requests in all cases.

Modules implemented:
- User: Signin-Signup-Login-Logout
- User: Dashboard-History-Cart
- Seller: Reviews-Dashboard-Products
- AdminPanel: Add-Remove-Update of Users,Categories & Products.
- Products: Sell-Purchase-Auction
- Payment Debit-Credit ( dummy module)
- Categories and Subcategories.
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Implementing the gumball machine as a 3D game using jmonkeyengine.
Made use of Audio, animation, physics, collisions and textures.
Made use of five Design Patterns (Command, Decorator, Chain of Responsibility, State, and Observer).
Key Skills: Java, Scrum, 3D development, Blender.