Final Year Major Project Initiation for 7th Semester Students

Final Year Major Project Initiation for 7th Semester Students

The Final Year Students currently in 7th Semester are to initiate their final year major project. While the final year project is a core essential part of your BTech degree, it is also highly valued for future career, since it supports students engaging in realistic activities which reinforce their understanding of the discipline, and draws on skills acquired in different modules throughout their degree.

  1. Choose a topic which where you will apply knowledge and skills you have gained from the courses taught and the skills you have gained through internships, self-study etc. Students are expected to apply good practice they have already learned during previous semesters, as well as learning any new technologies and other material which may be necessary to progress their work.
  2. Try to choose a topic which will be a great value addition to your career.
  3. Each student will work under a supervisor, who would normally be from the Computer Science Department, but supervisors from other departments or premier institutes/Industry are acceptable on case-to-case basis (see point no 7). Broad areas in which Department Supervisors will offer guidance is enlisted in the following table.
  4. Talk with your supervisor to choose topics that solve real world problems, society problems, technical problems and topics that aims to handle current and future industry trends
  5. A Final year project has to have a major implementation part, either in code or hardware or both. It cannot be a completely theoretical topic.
  6. There are four “deliverables” — an initial formal title and abstract of their project (by 20th October, 2020), a complete Design Document after End-Term Exams of 7th semester, a progress report/presentation at around Feb 2021, and a final demonstration with complete report submission at the end of 8th
  7. The Department also encourages Inter-disciplinary, Inter-University, Industry-collaborative projects.
    For Inter-Disciplinary Projects (for example Biotechnology-Computer Science, Electronics-Computer Science etc.) you can have two or more supervisors from all the concerned Departments
    For Inter-University projects you can have supervisors from GEHU or from Premiere Institutes (IITs , NITs and IIITs only). A co-supervisor from the Department can be taken.
    For Industry Collaborative Projects you can have supervisors from Prominent Industries (Major organizations only like IBM, Oracle, Amazon etc). A co-supervisor from the Department can be taken.
    For Inter-Disciplinary, Inter-University and Industry-Collaborative projects you need to take prior permission. Send a mail to :
  8. Projects can be done individually or in groups. Maximum four students is allowed in a group.
  9. Please fill up the initial details and abstract in the given link by 20th Oct, 2020. For group projects please ensure that only one of you is submitting, DONOT submit multiple entries. Link:


Sl No Faculty Areas for Supervision / Projects
1 Akanksha Kapurwan Programming Languages, Web Technologies
2 Akansha Gupta Machine learning, Artificial Intelligence, Soft Computing
3 Akshay Rajput Machine learning, social media data mining, NLP, Artificial Intelligence
4 Ankit Tomar Social distancing alert based system in deep learning using crowd density estimation./ Deep Learning,

Crowd emotions recognition using advanced deep learning algorithms./ Deep Learning,

People anomaly detection using advanced deep learning algorithms./ Deep Learning

5 Ankur Choudhary Broad Area : Routing protocols for Wireless Sensor Networks


Sample Project Topics:

Expected – basic understanding of Wireless Sensor Networks.

Task- Work out a well established hierarchical routing protocol, preferably using MATLAB (not restricted),  further the student is expected to extend this worked out implementation.


Expected – basic understanding of Wireless Sensor Networks.

Task- Work out any two well established classical flat routing protocols, preferably using MATLAB (not restricted),  further the student is expected to carry out a relative study between the worked out implementations.

6 Ashish Garg Machine Learning, Data Analytics, Machine Learning
7 Ashwini Kumar Natural Language Processing, Speech Recognition, Deep Learning
8 Deepak Uniyal Natural Language Processing, Twitter Data Analysis, Information Retrieval
9 Devyani Rawat Programming Languages, Data Analytics
10 Dibyahash Bordoloi Superscalar Processor Architectures, Speculation in Processors, Virtual Scene Generation
11 Dr. Bhaskar Pant Machine Learning, Artificial Intelligence, Bioinformatics, Data Mining
12 Dr. Devesh Pratap Singh Wireless Sensor Networks, System Programming
13 Dr. Durgaprasad Gangodkar Computer Vision, Cloud Computing, Multicore Computing, Big Data Storage
14 Dr. Manoj Diwakar Medical Image denoising, Image Enhancement using fusion approach, Image Security using encryption/watermarking
15 Dr. Mohammad Wazid ML security, Blockchain based security protocols, Security and privacy protocols in healthcare informatics
16 Dr. Preeti Mishra Cloud Security, Android Security, Docker Security, IoT Security
17 Dr. Sachin Sharma IoT, Cloud Computing, VANET
18 Dr. Santosh Kumar Ubiquitous Computing, Software Engineering
19 Dr. Sharad Gupta Image Processing, Machine Learning
20 Dr. Sourabh Jain IOT based Manhole Detection and Monitoring System,

IOT Based Automatic Vehicle Accident Detection and Rescue System,

IOT Based Toll Booth Manager System

21 Dr. Vijay Singh IoT, Recommender Systems, Data Analytics, Cloud Computing, Web Technologies
22 Dr. Vikas Tripathi Computer Vision , Machine learning, Image Processing
23 Garima Sharma Data Mining, Machine Learning, Data Analysis
24 Hemant Singh Pokhariya Land cover classification of remote sensing data,

Optimized machine learning scheme of land cover Classes,

LANDSAT  data,

Effect of Urbanisation on other land cover classes

25 Himanshu Rai Goyal Wireless Sensor Networks, IoT
26 Kireet Joshi Data Mining, Machine Learning, Software Engineering
27 Manish Mahajan Anomaly Analysis, Cryptography
28 Manish Sharma Web Technologies, Artificial Intelligence, Mobile Applications
29 Neha Tripathi Software Engineering
30 Nisha Chaube Programming Languages
31 Noor Mohd Intrusion Detection System,Mobile Adhoc Networks, Wireless Sensor Networks,Self Configurable Networks
32 Palak Agarwal Web Technologies, Programming Languages
33 Pankaj Kumar Systems Programming, Programming Languages
34 Parul Madan Databases, Web Technology, Wireless Sensor Networks
35 Piyush agarwal IoT, Big Data Analytics
36 Prabhjot Singh Crowd counting  using deep learning , Deep learning, Computer Vision , Natural Language Processing
37 Priyank Pandey Databases, Web Technologies, Machine Learning, Natural Language Processing
38 Ramesh Singh Rawat IoT, Multimedia
39 Ruchira Rawat Programming Languages, Algorithms
40 Sanjeev Kukreti Web Technologies
41 Sarishma Blockchain, Cloud security, Docker
42 Saurabh Kumar Mishra Algorithms, Data Mining , Sentiment Analysis
43 Siddharth Gupta Machine Learning, Deep Learning, Mobile Communications(4G Volte)
44 Sumit Pundir Computer Networks
45 Swati Devliyal IOT,ITS,ML
46 Upendra Ashwal Data Structures
47 Vikas Tomer Data Science, Machine Learning
48 Vishan Kumar Gupta Data Science, Artificial Intelligence
49 Vishu Tyagi Opinion Mining, Information Retrieval, Recommender System