Titiksha is a Technical Festival of Shri Mata Vaishno Devi University , located in Katra , Jammu (Jammu & Kashmir,India)

Resurgence is a Cultural and Spots Festival of Shri Mata Vaishno Devi University , located in Katra , Jammu (Jammu & Kashmir).

Titiksha is a Technical Festival of Shri Mata Vaishno Devi University , located in Katra , Jammu (Jammu & Kashmir,India)

Resurgence is a Cultural and Spots Festival of Shri Mata Vaishno Devi University , located in Katra , Jammu (Jammu & Kashmir).

This is a software developed for daily student attendance in schools, collages and institutes. If facilitates to access the attendance information of a particular student in a particular class. The information is sorted by the operators, which will be provided by the teacher for a particular class. This system will also help in evaluating attendance eligibility criteria of a student. The purpose of developing Student Internet Information Network is to computerized the tradition way of taking attendance. Another purpose for developing this software is to generate the report automatically at the end of the session or in the between of the session.

SMVDU Online-Judge is a platform for organizing the competitive programming contest for college , where user can solves a problems in C/C++/JAVA/Python and it shows a leaderboard of a Contest.

Survey Board is an online platform for organizing a survey/feedback .

A web crawler/scraper to find the broken links in the targeted seed url based on the keywords matched around that broken links.

A flask based web api to merge a two PNG images(i.e background and foreground) and get the merged image in base64 format.

An automation of Ophio Daily Food Management. I worked on firebase connectivity , frontend in AngularJs and made a python mailer scheduler for the web app.

A website of festival to celebrate Software Freedom Day and to promote open source.

Data-Tag is an evolved system to classify textual data and web pages using NLP techniques, rather than not so intelligent Keyword-based Tagging. It uses NLTK to categorize data tokens into various "Word-Classes" and then using Open Data from Wikipedia applies Word-Sense Disambiguation algorithm to "smartly" tag the input data.