Indian Institute of Information Technology, Nagpur


The department of CSE dedicated to fetch and execute the projects of various domain. Following are the list of different projects

On Going Reserach Project
Sr.No. Name of PI Title Amount (Rs) Period Agency Status

PI: Dr. Mayuri A Diglwar, Assistant Professor, CSE, IIIT Nagpur

Co-PI: Dr. Rashmi Pandhare, Assistant Professor, ECE, IIIT Nagpur.

Co-PI: Dr. Abhijeet K. Digalwar,  Associate professor Mechanical Engineering department BITS, PILANI, Pilani campus

Design and Development of Mobile App interface and a smart wearable device for awareness, tracking, and alerting the citizens to inculcate improve risk understanding. 13,82,400   Year of Awareness on Science & Health (YASH), DST On-going
2 Dr. Jitendra Tembhurne, HOD & Assistant Professor,CSE, IIIT Nagpur New Authentication Technic 10,90,000

2 Year, 10 December 2020

ECMC Scheme,SERB Science and Engineering Research Board (SERB) - Department of Science and Technology, India On-going



A project proposal submitted to DST on " Weed Removal Through Plant Seedling Classification Using Transfer Learning in CNN " Project on Automatics Harvesting System for Agriculture Saurav Gajbhiye - Team Leader, Purva Goydani, Vedant Gannarpwar, Harshal Khandait, Pranav Rabade, Kausik Yelne (Won 1st Prize at Smart India Hackathon - 2019 for Agriculture -Hardware Edition)

Batch 2020 Project List
Enrollment No.  Name of the student Project Title Objectives Project Links Supervisor
BT16CSE003 Mayur Selukar Inventory Cost Control Model for Fresh Product Retailers Based on DQN Perishable good like fresh produce are growing part of today’s e-commerce projects. Due to there perishable nature traditionally they have accounted for a high share in the inventory cost management. Aiming at the cost control problem for these enterprises, this dissertation proposes use of Deep Reinforcement Learning techniques for the inventory management for perishable goods. The dissertation models the retailers inventory limitation factors and also models real-world parameters like overdue cost, shortage cost, lead time and corruption costs across multiple products. The simulation experiments show that the proposed RL models are able to reduce inventory cost and spoilage rate of the goods when the products lead times and life cycles are known along with the distribution of the demand of the products. Link  Dr. Pooja Jain
BT16CSE006 Tushita Singh Word Sense Disambiguation using HMM  Word sense disambiguation is a major problem in Natural Language Processing. Hidden Markov model is used to solve this problem. The results are quite appealing. Link
BT16CSE019 Vaibhav Agasti Plagiarism Detection using High level FUZZY Petri Net Source code plagiarism is a growing problem due to the emergence of the internet, open source community etc. Many times, programmers present someone else’s work as their own.The detection of such plagiarism is crucial because plagiarism is essentially a form of theft.The plagiariser benefits from the work that he/she did not create. This project aims at developing a tool to detect plagiarism in source codes by comparing the Abstract Syntax Trees(AST) of the respective source codes. The comparison is done by first properly encoding the obtained ASTs into strings and then comparing the strings by using a Global Sequence Alignment technique. A fuzzy decision maker then makes the final decision based on the output of the sequence alignment algorithm. Link1
BT16CSE024 Sree Charan Deepfake detection In this project, we have implemented the deepfake detection model using deep learning. The new model is proposed which is based on CNN and RNN. The acuracy is measured as a performance metric, we have achieved the best accuarcy comapred with state of art models. Link  Dr. Jitendra Tembhurne
BT16CSE030 Sunny Dhoke Legal-Ner:A deep learning model for named entity extraction from Indian supreme court data The objective in this project is to propose the new dataset for name entity detection from Indian supreme court data. Moreover, the datasets is also implemented on deep learning model to find the accuarcy. We observe the good accuarcy for the dataset. Link1
BT16CSE004 Divyesh Saglani Algorithm for Secure Online media Transmission To implement an algorithm for secure online message transmission using a combination of cryptography and stegnograpgy techniques. Link  Dr. Nishat Ansari
BT16CSE008 Aayesha Bassy Applications of Genetic Algorithm Implementation and comparative study of applications of genetic algorithm  Link1
BT16CSE018 Prachita Kotangale  
BT16CSE021 Koshike Divyasri Movie Recommendation based on User History To provide users personalised recommendation of movies using content based and collaborative filtering approaches. Link
BT16CSE012 Rinisha Gedam Deep Transfer Learning for Intelligent Cellular Traffic Prediction based on cross domain big data To help autonomic network control and management as well as service provisioning by analysing and predicting real-time and non-real time spatiootempora cellular  traffic with accuracy. Link1
 Dr. Nidhi Lal
BT16CSE016 Braj Kishor Estimation of Bearing Remaining useful life based on Multiscale Convolution Neural Netork The objective is to propose a predictive model to address the bearing's remaining life which matches an application in real time. Vibration signals generated and machine learning approaches are used in this report to determine the Remaining Useful Life (RUL) of degraded bearings. With the development of various deep learning techniques, which  redefine representation learning from raw data. Link
BT16CSE026 Tejas Tidke Computer Vision based Gesture Controlled Drone The work will help future development to choose particular computer vision approach for the similar application. Looking into application point of view, wherever there is use of body gesture recognition this study can be a significant reference to choose proper approach to develop such  systems. Link
BT16CSE015 Vaidehi Manoj Ghime Bug Tracking System The main objective of this system is to develop a flawless system, which can track all the bugs (current as well as previous) of all the projects of a company and to manage hundreds of such projects in multiple locations to make the project developer-tester friendly and bugs free. In general it needs to make managing a project, developing code and testing a code easy without any unnecessary chaos like in the old system. Link  Dr. Mayuri Digalwar
BT16CSE017 Sakshi Agrawal
BT16CSE022 Sravanthi Chede
BT16CSE031 Anushri Laddha Mouse Handling using Facial Feature The system aims to replace conventional typical mouse in a new way that makes use of human facial features. Without any use of hand, the system promises to provide you with full accessibility of mouse control. It considers facial gestures and using them, it controls the basic mouse functionality. Link
BT16CSE005 Atharv C. Daflapurkar Autonomous/ Self Driving Cars To solve the minimal version of the Self Driving Car problem using Motion Planning Based  Model Based approaches and comparative analysis of these approaches. Link  Dr. Milind Penurkar
BT16CSE009 Kunal Yelne Detecting and Classifying Toxic Comments Toxic comment classification using various Machine Learning Classifiers and various deep learning models Link1
BT16CSE013 Sanket Kale
BT16CSE007 Nilay Bhat Fake News Detection To inculcate content based features to generalize the classifiers to detect fake news using Propensity Score Matching method Link
BT16CSE010 Dinesh Chevvakula Sentiment Analysis using Deep Learning Implementation and Comparative Analysis of Deep Learning Models for Sentiment Analysis and Emotion Detection Link  Dr. Tausif Diwan
BT16CSE011 Sanket Sinha
BT16CSE023 Shiva Kumar Gedela
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