The department of CSE dedicated to fetch and execute the projects of various domain. Following are the list of different projects
|Name of PI
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.
|Year of Awareness on Science & Health (YASH), DST
|Dr. Jitendra Tembhurne, HOD & Assistant Professor,CSE, IIIT Nagpur
|New Authentication Technic
2 Year, 10 December 2020
|ECMC Scheme,SERB Science and Engineering Research Board (SERB) - Department of Science and Technology, India
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)
|Name of the student
|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.
|Dr. Pooja Jain
|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.
|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.
|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.
|Dr. Jitendra Tembhurne
|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.
|Algorithm for Secure Online media Transmission
|To implement an algorithm for secure online message transmission using a combination of cryptography and stegnograpgy techniques.
|Dr. Nishat Ansari
|Applications of Genetic Algorithm
|Implementation and comparative study of applications of genetic algorithm
|Movie Recommendation based on User History
|To provide users personalised recommendation of movies using content based and collaborative filtering approaches.
|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.
|Dr. Nidhi Lal
|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.
|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.
|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.
|Dr. Mayuri Digalwar
|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.
|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.
|Dr. Milind Penurkar
|Detecting and Classifying Toxic Comments
|Toxic comment classification using various Machine Learning Classifiers and various deep learning models
|Fake News Detection
|To inculcate content based features to generalize the classifiers to detect fake news using Propensity Score Matching method
|Sentiment Analysis using Deep Learning
|Implementation and Comparative Analysis of Deep Learning Models for Sentiment Analysis and Emotion Detection
|Dr. Tausif Diwan
|Shiva Kumar Gedela