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Project Name

Summer Student Intern Program : IntelliWeb - Building Intelligent Web Applications with AI

Department

Computer Science & Engineering

Project Lead from the Department

Prof. Nandini Mukhopadhyay

Faculty

Faculty of Engineering and Technology

Project Lead from GJUAF

Prof. Subhankar Dhar, San Jose State University, CA, USA

Overview

The project for CS students in full stack web development using AI is an exciting opportunity to gain hands on experience in building modern, intelligent web applications. The project will involve using cutting-edge technologies such as natural language processing (NLP), machine learning (ML), to develop intelligent chatbots, recommendation engines, and personalized user experiences. Students will work on developing a full stack web application from scratch, starting with the front-end development using HTML, CSS, JavaScript, along with MongoDB in the back-end. They will then integrate the back-end of the application using Node.js, a popular server-side runtime environment for building scalable and fast web applications.

Students will also learn how to use various APIs, and deploy applications using AWS. The duration of theproject is 12 weeks and will be administered at JU campus under the supervision of a professor from an American university. 

Request for funding

Rs 60,000

Budget

Rs 60,000

Quote from vendors

Not Applicable

Funds Transferred

YES, $600 on May 17, 2023

Procurement status

Completed 

Completed or expected completion date

Dec 2023

Remaining budget for this project

INR 4519

Benefits to students and JU

The proposed project will benefit students by providing them with professional development opportunities that will help them in their academic and professional careers. This is a great opportunity for CS students who want to gain hands-on experience in full-stack web development. Students will have the chance to work on real-world projects, learn from experienced developers, and improve their skills in React,
Node.js, and MongoDB. This project will also provide an excellent opportunity to build a portfolio of impressive projects that will help students stand out in the job market.

Project Close out – How do we measure the success of this project

Both HOD of Computer Science and Engineering and student interns are pleased with the outcome of the internship. Local newspapers published this news. Students will have more opportunities in their professional careers.