About the News Letter

About the Center

Cyber Security has become a major challenge due to increased usage of Internet and Mobile Devices for personal applications and professional activities. Application of Internet of Things in Smart City and Smart Industrial applications have challenged the entire digital system through sophisticated cyber-attacks on Information Technology (IT) infrastructures. Many Cyber Frauds and Scams are also on the rise affecting the common man when they start using the digital facilities without proper training and awareness. To use the electronic devices and Internet safely and securely to the benefit of the individuals, IT infrastructures must become resilient against the threats and vulnerabilities that are intelligent. Hence, there is a need for application of Artificial Intelligence in developing solutions and handling the threats in an effective manner. Orientation, training and interactions with the leading scientific organizations and the industrial organizations who are actively involved in developing solutions are essential to prepare the young talents towards Cyber Intelligence. Organizing capacity building programmes to handle and manage the risks are the need of the hour for the younger generation and for Nation Building activities.  

Vision

To build Cyber Ecosystem within the Institute, outside, in other Institutions and in the society at large through Center for Cyber Intelligence

Mission

1. To conduct research in Cyber Intelligence domain 
2. Provide training and awareness on various Cyber Security Challenges 
3. To promote better practices in Cyber Space

Objectives

• Capacity building to manage Cyber Threats and Challenges
• Conduct research in Cyber Intelligence Domain
• Orient women and girl children on Cyber Frauds, Scams and Threats 
• Familiarize the best practices for Social Media Security
• Build Cyber Ecosystem by orienting the Information Technology Act and Cyber Laws
• Develop ICT enabled video lessons to promote ethical ways of handling electronic media and devices
• Promote Security Audit Practice within the institution
• Establish tie-ups with Organizations

Activities

1. Skill Development training for Faculty Members, Research Scholars and Students
2. Awareness and Orientation programmes for Women and Girl Children
3. Development of lessons on Cyber awareness
4. Promotion of research in Cyber Intelligence
5. Capacity Building 
6. Promote best practices

Publications -12

Journal -1

1.Asha S, Shanmugapriya D, Padmavathi G, “Malicious insider threat detection using variation of sampling methods for anomaly detection in cloud environment”Computers and Electrical Engineering, Volume 105, 2023,108519, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2022.108519. 

Conference Proceedings-8

1. ,G.,Shanmugapriya,D.,Asha,S.(2022).A Framework for Improving the Accuracy with Different Sampling Techniques for Detection of Malicious Insider Threat in Cloud.In:Uddin,M.S.,Jamwal,P.K.,Bansal,J.C.(eds) Proceedings of International Joint Conference on Advances in Computational Intelligence.Algorithms for Intelligent Systems. Springer,Singapore.https://doi.org/10.1007/978-981-19-0332-8_36   (Web of Science)
2. G.Padmavathi, D.Shanmugapriya and A.Roshni, "Performance Analysis of Unsupervised Machine Learning Methods for Mobile Malware Detection," 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom),2022,pp.201-206, doi:10.23919/INDIACom54597.2022.9763180. (Scopus Index)
3. G.Padmavathi , D.Shanmugapriya and S.Asha,"A Framework to Detect the Malicious Insider Threat in Cloud Environment using Supervised Learning Method," 2022 9th International Conference on Computing for Sustainable Global Developement (INDIACom), 20222,pp.354,doi:10.23919/INDIACom54597.2022.9763205. (Scopus Index)
4. Dr.D.Nethra Pingala Suthishni , Dr.D.Shanmugapriya, Dr.V.Sasirekha, and Dr.G.Padmavathi, Performance Evaluation on Selective Forwarding Attack Detection using Machine Learning Techniques implemented in ZIGBEE Network,Springer Proceedings of 2nd International Conference on Next Generation Computer System. (ICNGCS - 2023)
5. D.Shanmugapriya,G.Padmavathi and A.Aysha,"Detection of Iris Template Attacks using Machine Learning and Deep Learning Methods:, 2023 10th International Conference on Computing for Sustainable Global Development (INDIACom),2023.(Yet to be Scopus Indexed).
6. S. Sneha, A. Roshni, and G. Padmavathi, "A Stacked Ensemble Model to Detect Network Intrusions", Fourteenth International Conference on Advances in Communication, Network, and Computing - CNC 2023. (Yet to be Scopus Indexed) 
7. K. Bhuvaneswari, A. Roshni, and G. Padmavathi, "Evaluation of Selected Supervised Machine Learning Models for Phishing Website Detection", Fourteenth International Conference on Advances in Communication, Network, and Computing - CNC 2023. (Yet to be Scopus Indexed) 
8. S. Kiruthika, A. Roshni, and G. Padmavathi, "Detection of Obfuscated Malware using Ensemble Learning Techniques", Fourteenth International Conference on Advances in Communication, Network, and Computing - CNC 2023. (Yet to be Scopus Indexed) 

Book Chapter-5

1. G Padmavathi , D Shanmugapriya, S Asha (2022), Detection of Malicious Insider in Cloud Environment based on Behavior Analysis , Progressions made in Cyber-Security World , pg : 1-9,ISBN:978-1-003-30238-4(ebk) DOI:10.201/9781003302384, CRC Press.  (Taylor and Francis)
2.  G Padmavathi , D Shanmugapriya , A Roshni (2022), Evaluation of Supervised Machine Learning Classifiers to Detect Mobile Malware , Progessions made in Cyber-Security World , pg:1-9 , ISBN:978-1-003-30238-4(ebk) DOI :10.201/9781003302384, CRC Press . (Taylor and Francis)
3.  Ganapathi , P. ., Shanmugapriya , D . .,Roshni, A. .(2022). Evaluation of Principal Component Analysis Variants to Assess Their Suitability for Mobile Malware Detection. In (Ed.), Advances in Principal Component Analysis.IntechOpen. https://doi.org/10.5772/intechopen.105418    
4. Gaayathri M., Padmavathi Ganapathi, Roshni A., Shanmugapriya D (2023), “Wrapper-Based Feature Selection for Detecting the Lexical Phishing Websites Using Ensemble Learning Algorithms”, Malware Analysis and Intrusion Detection in Cyber-Physical Systems, IGI Global, DOI: 10.4018/978-1-6684-8666-5, ISBN13: 9781668486665 | ISBN10: 1668486660 | EISBN13: 9781668486689 
5.  Sri Danalaksmi P., Geethalakshmi S. N., Roshni A., Padmavathi Ganapathi (2023), “Classification of Firewall Log Files Using Supervised Machine Learning Techniques”, Malware Analysis and Intrusion Detection in Cyber-Physical Systems, IGI Global, DOI: 10.4018/978-1-6684-8666-5, ISBN13: 9781668486665 | ISBN10: 1668486660 | EISBN13: 9781668486689 

Book - 3

1. Ganapathi, P. ., Shanmugapriya, D. ., & Roshni, A. . (2022). Dynamic Analysis Based Mobile Malware Classification Using Supervised Machine Learning Methods, 1–168. https://doi.org/10.9734/bpi/mono/978-93-5547-441-4, B P International. ISBN 978-93-5547-441-4 (Print), ISBN 978-93-5547-442-1 (eBook)  
2.  Padmavathi Ganapathi, S. Karthika (2022), Vulnerability Assessment with Nessus, 1-107,  Notion Press, ISBN: 9798886848632  https://notionpress.com/read/vulnerability-assessment-with-nessus 
3. Padmavathi Ganapathi, D. Nethra Pingala Suthishni (2023). Security Auditing with NMAP. pp. 1 - 114. ISBN: 9798889350699,Publisher: Notion Press. https://notionpress.com/read/security-auditing-with-nmap

International MoU's 

• SOEBIT Cybersecurity, The Netherlands, Europe.

In-House Project (2021-2022)

1. Detection and Mitigation of Malicious Insider Threats in Cloud Environment using Machine Learning Methods

• Dr. G. Padmavathi, Dean - PSCS, Director - DST - CURIE - AI, Professor, Department of Computer Science
• Dr. D. Shanmugapriya, Assistant Professor and Head, Department of Information Technology
• Ms. S. Asha, Research Scholar, Department of Computer Science

2.  Energy Efficient Intrusion Detection System for Zigbee based Wireless Sensor Networks using Machine Learning Techniques

• Dr. G. Padmavathi, Dean - PSCS, Professor - Department of Computer Science

          Principal Investigator - Dr. V. Sasirekha, Assistant Professor (SS), Department of Physics

     Co - Principal Investigators-

• Dr. D. Shanmugapriya, Assistant Professor and Head, Department of Information Technology
• Dr. D. Nethra Pingala Suthishni, Assistant Professor, Department of Information Technology

CCI Student Projects 2021-2022

1. Darknet Traffic Classification using Machine Learning Techniques 

• Dr. G. Padmavathi, Dean - PSCS, Professor, Department of Computer Science
• Ms. A. Roshni, Technical Assistant, Center for Cyber Intelligence, DST - CURIE - AI
• Ms. Sahithi Kasim, B.Tech Computer Science and Engineering, G. Narayanamma Institute of Technology and Science, Hyderabad, Telangana

2. Classification of Firewall Log Files using Supervised Machine Learning Methods

• Ms. P. Sri Dhanalakshmi, M.Sc Computer Science

more... 

3. Spam Mail Detection using Supervised Machine Learning Methods

• Ms. S. Thameena Kawsar, M.Sc Computer Science

more... 

4. An Ensemble Framework for Network Intrusions

• Ms. V. Kanimozhi, Master of Computer Application

more...

5. Web Enabled Secured Loan Sanction Application using Smart Contracts on Blockchain Technology

• Ms. S. Kavya, Master of Computer Application

more...

6. Feature Selection based Phishing URL Detection using Supervised Machine Learning Methods

• Ms. N. Nandhini, Master of Computer Application

more...

7. Android Botnet Detection using Supervised Machine Learning Methods

• Ms. S. Shalini, Master of Computer Application

more...

8. Iris Template Attack Detection using ML and DL Methods

• Ms. A. Aysha, M.Sc Information Technology

more...

9. Texture and Color Quality Analysis for Face Spoofing Detection using ML and DL Techniques

• Ms. G. Indhumathi, M.Sc Information Technology

more...

10. Vulnerability Analysis using Unsupervised Machine Learning Methods 

• Ms. K. Meghasree M.Sc Information Technology

more...

Programme's Conducted by CCI

CCI Awareness and Orientation Activities 

1. Conducted a "Awareness Programme on Cyber Security" for School Students of Sri Avinashilingam Higher Secondary School for Girls, Coimbatore - Feb, 2022.   (Report)

2.  Conducted a "Orientation Programme on Cyber Security" for UG Students of Sri S. Ramasamy Naidu Memorial College, Sattur - Feb, 2023.  (Report) 

Cyber Jaagrookta Diwas 2022 - Activities 

Cyber Jaagrookta Diwas 2023 - Activities 

Students Project External Evaluation and Presentation 

• Students Projects External Evaluation and Presentation 2021 - 2022 (Report)
• Students Projects External Evaluation and Presentation 2022 - 2023 (Report)

PG Students Projects

Team Members

Faculty in-charge:

Dr.G.Padmavathi,

Faculty in-charge - Center for Cyber Intelligence,

Dean - School of Physical Sciences and Computational Sciences,

Professor, Department of Computer Science.

Mail: padmavathi_cs@avinuty.ac.in

Other Staffs:

Dr. D. Shanmugapriya

Assistant Professor and Head

Department of Information Technology.

Ms. S. Karthika

Assistant Professor, Department of Information Technology.

Dr. D.Nethra Pingala Suthishni

Assistant Professor, Department of Information Technology.

Dr.A.Sumi

Assistant Professor, Department of Information Technology.

Ms. A. Roshni

Technical Assistant.

Ms. S. Asha

Full-Time Research Scholar.

About the Programme

     AAI Lab is a research platform  for exploring the potential of students with Internet of Things for multidisciplinary research with more end-user interactions. It gives the power to the students to be at the core of the research and innovation process. It gives them the power to change the world and their future. AAI lab is equipped with  micro controllers, RFID tags, different types of sensors. In the lab we have a  3D printer to develop multi disciplinary products. We have AVR software to engaged in the design and development of advanced human-machine interfaces for students. We will cultivate the spirt of technology based agriculture among the students  with the help of farm bot deployed in our center. By using this lab, students could develop IoT proof of concepts, learn embedded programming and create their own prototypes. 

     IoT Lab transforms  ideas of the student into customized solutions for the problems of the society. Also we will encourage students to participate in many competitions.

Vision

Our vision is to help accelerate our student to adapt smart, innovative technologies along with AI, resulting in economic and social benefit. 

Mission

The AAI Startup programme will act as a catalyst to accelerate the efforts of the students/staff growth in product development . This programme will provide the necessary support to innovate and create new products leveraging technology to solve real life problems. It is an interoperable, multi-technology-based stack which will provide design prototype equipment’s, validation, testing space, demo space and concept labs.

Thurst Areas

1. Farm Bot

Farm automation, often associated with smart farming. It is a robot to farm the different crops in particular area.  The robot itself moves around using tracks on the sides of the box, and it works in three dimensions. So it can go left to right, forward and backwards, up and down. FarmBot sows seeds, waters plants and gets rid of weeds by using different tools for each job, depending on the task at hand. It monitors the plant 24*7. In our centre we will deploy the farmbot in order to cultivate the spirit of agriculture among the students. We will use drones to fertilize the plants. With the help of captured pictures from the drone, can implement Image Processing  applications for further research work.

II. Augmented Reality (AR)

Augmented reality (AR) is an enhanced version of the real physical world that is achieved through the use of digital visual elements, sound, or other sensory stimuli delivered via technology. Primary goals of AR is to highlight specific features of the physical world, increase understanding of those features, and derive smart and accessible insight that can be applied to real-world application.

III. University Automation

A university automation system will monitor and  control  attributes such as light, climate, entertainment systems and appliances. It may also include centre's security  system such as access control and alarm systems with the help of IoT.

IV. Renewable Energy - Solar Energy

A renewable energy source means energy that is sustainable. Similar to sun, Solar Power is main source of renewable source. Solar power is energy from the sun that is converted into thermal or electrical energy.  Solar technologies can harness this energy for a variety of uses, including generating electricity for our center. We will deploy a Solar cell which can drive upto 1000 Kilowatts in our university. The energy driven from the solar cells can be used instead of electricity. This will predominantly save electricity consumption.

Patent

1. AI based Intelligent Mosquito Trap to Control Vector Borne Diseases(Patent Published)

 Application No:202241021066 

Month &Year: May 2022

1. Dr.P.Subashini, Professor, Department of Computer Science
2. Dr.M.Krishnaveni, Assistant Professor(SG), Department of Computer Science
3. Dr. K. Manimegalai, Professor, Department of Zoology
4. Dr.T.T. Dhivya Prabha, Research Associate, DST CURIE-AI
5. Ms.B.Gayathre,III MCA,Department of Computer Science 

Completed Projects -PhD/PG

1. AI based Environmental Monitoring System for Mushroom Cultivation 

1. Dr.M.Krishnaveni, Assistant Professor(SG), Department of Computer Science
2. Dr. M. K. Nisha, Assistant Professor, Department of Botany
3. E.Gaayathri Devi, Research Scholar, Department of Botany
4. Ms.V.Narmadha, Technical Assistant, DST CURIE-AI

E.Gaayathri Devi

Culture Room at CMLI

The Team Visit at Culture Room

Experimental Study in Culture Room

2. AI based Nutrient Analyzer for Milk Samples using Triad Spectroscopy Sensor

1. Dr.M.Krishnaveni, Assistant Professor(SG), Department of Computer Science
2. Dr.P A.Raajeswari, AssProfessor (SG), Department of Food Science and Nutrition
3. R.Krithika, Research Scholar, Department of Food Science and Nutrition
4. Ms.V.Narmadha, Technical Assistant, DST CURIE-AI

R.Krithika

Methodology of the Work

Experimental work

  3.Prediction of E-Coli Bacteria in Food Samples using Raspberry Pi

1. Dr.M.Krishnaveni, Assistant Professor(SG), Department of Computer Science
2. Dr.(Mrs.) D.Kavitha , Assistant Professor,Department of Bio Chemistry
3. Ms. R. Ramya, Research Scholar, Department of Bio Chemistry
4. Ms.V.Narmadha, Technical Assistant, DST CURIE-AI

R. Ramya

Bacterial Detection Box

Detection Kit

Detection of E-coli using Raspberry PI

​​​​​4.Edible Teether Using 3D Printer 

1. Dr. C.A.Kalpana,Professor,Professor and Deputy Dean of Home Science 
2. Dr. PA.Raajeswari ,Associate Professor,Department of Food Science and Nutrition
3. Dr.M.Krishnaveni, Assistant Professor(SG), Department of Computer Science
4. Ms. G.Shampavi,I M.Sc FSN, Department of Food Science and Nutrition
5. Ms. T.Pradeepa,I M.Sc FSN, Department of Food Science and Nutrition
6. Ms.L.Pooja,I M.Sc FSN, Department of Food Science and Nutrition
7. Ms.S.Rubi,I M.Sc FSN, Department of Food Science and Nutrition
8. Ms.V.Narmadha, Technical Assistant, DST CURIE-AI

 T.Pradeepa

S.Rubi

G.Shampavi

L.Pooja

Designing Teether

Process of Printing in FlashForge Finder

3D Printed Teether

5.Non Invasive Glucose Measurement Using Max30100 sensor

1. Dr.P.Subashini,Professor, Department of Computer Science
2. Dr.M.Krishnaveni, Assistant Professor(SG), Department of Computer Science
3. Ms.Dhivyasri,I M.Sc Computer Science,  Department of Computer Science
4. Ms.V.Narmadha, Technical Assistant, DST CURIE-AI

Ms.Dhivyasri

Circuit Diagram

Integration of Components

Calculating Glucose value

6.Development of Android App for IoT based Health Care Monitoring System

1. Dr.M.Krishnaveni, Assistant Professor(SG), Department of Computer Science
2. Ms.Gayathre,I MCA,Department of Computer Science

Gayathre, I MCA

1. Plant monitoring System

1. Dr.M.Krishnaveni, Assistant Professor(SG), Department of Computer Science
2. Ms. V. Narmadha, Technical Assistant, AAI Startup Programme
3. Dr.S.Amutha , Assistant Professor, Department of Botany
4. Ms.S.Swarnalakshmi, Research Scholar, Department of Botany

UG Projects -2022-2023

1.SMART GRID MONITORING MOBILE APPLICATION FOR SOLAR PANEL DEPLOYED AT OUR UNIVERSITY

1. Dr.M.Krishnaveni, Assistant Professor(SG), Department of Computer Science
2. Dr.T.T. Dhivya Prabha, Research Associate, CMLI.
3.  Ms.G.KAVIYA  20UCS014, III B.Sc. Computer Science ,Dept. of Computer Science
4. Ms.R.MALINI  20UCS019, III B.Sc. Computer Science ,Dept. of Computer Science
5. Ms.G.VINANYA  20UCS050, III B.Sc. Computer Science ,Dept. of Computer Science.

R.MALINI

G.VINANYA

G.KAVIYA

2.WEB PORTAL FOR MONITORING GREEN ENERGY PRODUCTION IN THE DEPLOYED SOLAR PANELS AT OUR UNIVERSITY

1. Dr.M.Krishnaveni, Assistant Professor(SG), Department of Computer Science
2. Dr.T.T. Dhivya Prabha, Research Associate, CMLI.
3. Ms.V.KEERTHIKA  20UCS016, III B.Sc. Computer Science ,Dept. of Computer Science
4. Ms.S.SAFA FATHIMA  20UCS030, III B.Sc. Computer Science ,Dept. of Computer Science
5. Ms.R.SAGARISHA 20UCS032,III B.Sc. Computer Science ,Dept. of Computer Science
6. Ms.P.VAISHALI 20UCS044, III B.Sc. Computer Science ,Dept. of Computer Science.

V.KEERTHIKA

S.SAFA FATHIMA

R.SAGARISHA

P.VAISHALI

3.3D PRINTED ROBOTIC ARM TO SEGREGATE BIO DEGRADABLE AND NON-BIODEGRADABLE WASTE

1. Dr.M.Krishnaveni, Assistant Professor(SG), Department of Computer Science
2. Dr.N.Valliammal,Assistant Professor(SG), Department of Computer Science
3. Ms.V. Narmadha, Technical Assistant,AAI Startup Programme      
4. Ms.S.Anupriya  20UCS002, III B.Sc. Computer Science ,Dept. of Computer Science
5. Ms.R.Kannika 20UCS010, III B.Sc. Computer Science ,Dept. of Computer Science
6. Ms.J.Nandhana 20UCS022,III B.Sc. Computer Science ,Dept. of Computer Science
7. Ms.R.Poornima Srinidhi 20UCS024,III B.Sc. Computer Science ,Dept. of Computer Science

J.Nandhana

R.Kannika

R.Poornima Srinidhi

S.Anupriya

4.SENSOR-BASED DIAGNOSTIC DEVICE FOR CHRONIC OBSTRUCTIVE PULMONARY DISEASE (COPD)

1. Dr.S.Gayathri Devi,Professor,Departament of Computer Science
2. Dr.M.Krishnaveni, Assistant Professor(SG), Department of Computer Science
3. Ms.V. Narmadha, Technical Assistant,AAI Startup Programme
4. Ms.S.Lohitha,20UBB023,Department of Bio Chemistry and Bio Technology
5. Ms.S.Ambikavathi,20UBB002,Department of Bio Chemistry and Bio Technology

S.Lohitha

S.Ambikavathi

Circuit Diagram

UG Projects 2021-2022

1. Raspberry Pi based Emotion Detection

1. Dr.M.Krishnaveni, Assistant Professor(SG), Department of Computer Science
2. Ms.V. Narmadha, Technical Assistant,AAI Startup Programme      
3.  V.Haripriya 19UCS013, III B.Sc. Computer Science ,Dept. of Computer Science
4. R. Dharshini 19UCS010,III B.Sc. Computer Science ,Dept. of Computer Science
5. C. Sumithra-19UCS051,III B.Sc. Computer Science ,Dept. of Computer Science

C. Sumithra

R. Dharshini

V.Haripriya 

Overall Integration of Components

Tested in Google Meet

Framework of the Project

2.AI based Soil Nutrient Monitoring and Analyzing

1. Dr.M.Krishnaveni, Assistant Professor(SG), Department of Computer Science
2. Ms. V. Narmadha, Technical Assistant, AAI Startup Programme     
3. P. Dharsana 19UCS009,III B.Sc. Computer Science ,Dept. of Computer Science
4. R. Prathoshisa 19UCS033,III B.Sc. Computer Science,Dept. of Computer Science
5. R. Ramyashree-19UCS036,III B.Sc. Computer Science ,Dept. of Computer Science

R. Prathoshisa

P. Dharsana 

R. Ramyashree

Hardware Integration

Analysis of Rose Plant 

3. Web Based Child Rescue System from Borewell 

1. Dr.M.Krishnaveni, Assistant Professor(SG), Dept. of Computer Science
2. Ms. V. Narmadha, Technical Assistant, AAI Startup Programme    
3. K. Ranjitha-19UCS038,III B.Sc Computer Science, Dept. of Computer Science
4.  B.Sarulatha-19UCS043,III B.Sc Computer Science, Dept. of Computer Science
5. S.Sarmila-19UCS042 ,III B.Sc Computer Science, Department of Computer Science
6. G. Yasini Devi-19UCS058, B.Sc Computer Science, Department of Computer Science

Hardware Connection of Components

Home Page of Website 

Emergency Alert Notification in the Website

G. Yasini Devi

S.Sarmila

K. Ranjitha

B.Sarulatha

PG Projects 2022-2023

Integrated Self Diagnostic Non-Invasive Health Monitoring Device

1. Dr.M.Krishnaveni, Assistant Professor(SG), Department of Computer Science
2. Dr. C. C. S. Vasundhara,Assistant Professor,Department of Bio Chemistry and Bio Technology 
3. Mrs.V.Narmadha,Technical Assistant, AAI Startup Programme
4. Ms.N.Narmadha,21PBC011,Department of Bio Chemistry and Bio Technology 

Elephant Detection in Digital Image using Raspberry-Pi

1. Dr.M.Krishnaveni, Assistant Professor(SG), Department of Computer Science 
2. Mrs.V.Narmadha,Technical Assistant, AAI Startup Programme
3. Ms.A.HemaPriya,I,MCA,Department of Computer Science

A.HemaPriya

Hardware Intergration 

Outcome of the Experiment 

PG Projects 2021-2022

AI-IoT Enabled Mosquito Based Diseases Identification System

1.  Dr.M.Krishnaveni, Assistant Professor(SG), Department of Computer Science
2. Dr.T.T. Dhivya Prabha, Research Associate, DST CURIE-AI
3. Ms.B.Gayathre -19PCA001,III MCA, Department of Computer Science

Gayathre, I MCA

Methodology of  IoT Phase

Methodology of ML Phase

Findings of the Mosquito Species

Awards/Recognition 

1. Dr.M. Krishnaveni and Mrs.V. Narmadha has been awarded 1st prize in "One day Intra University Product Display Competition", for "Anti Sleep Glass for Drivers" held on 11.08.2022.
2. Dr.M. Krishnaveni and Mrs.V. Narmadha has been awarded BEST PAPER award for the paper “A Dynamic Controlled Environment Model for Sustainable Mushroom Cultivation by Integrating ML and Physiological Parameters” in International Conference on “Artificial Intelligence – Multidisciplinary Perspectives on Emerging Challenges, Research and Opportunities (ICAI-2022) “Organized by the Centre for Machine Learning and Intelligence, DST-CURIE-AI, during 24th & 25th February, 2022.
3. Ms. R. Ramya, Research Scholar, Department of Bio Chemistry has been awarded 1st prize in “Innovative Ideas to Products” from National Science day Celebrations, February 2022  for “Prediction of E-Coli Bacteria in Food Samples using Raspberry Pi”.
4. Ms.M.Mohana  Research Scholar and  Ms.V.Suvetha II MCA ,Department of Computer Science has been awarded 1st   prize in "Innovative Ideas to Products"  under PhD Category  from National Science Day Celebrations, February 2023 for " Real-time Facial Emotion Recognition (FER) from Facial Expression using IoT System".
5. Ms.Archana , Ms. Ridhu priya and Ms.Farveen Banu B.Sc CS I year , Department of Computer Science has been awarded 1st   prize in "Innovative Ideas to Products" under  UG Category  from National Science Day Celebrations , February 2023 for " Web based Child Rescue System".
6. Ms.G.Kaviya and Ms.G.Vinaya B.Sc CS III Year , Department of Computer Science has been awarded 2nd   prize in" Innovative Ideas to Products" under  UG Category from National Science Day Celebrations,February 2023 for "Artificial Intelligent Based Mosquito Identification Trap".

Events Organized

1. Conducted one day awareness programme on "What Next AR/VR?"  by Mr.Pradeep Sathya Kumar,Scopik Edutech ,Chennai Beneficiaries -700 participants from various faculty.
2. Conducted a webinar on “Applications of AI and IoT in Farming” on 6th August 2021 by Mr. Marc Roland Senior Manager, Farmbot Inc., USA Beneficiaries - 100 Participants from various faculty.
3. Conducted a one-day workshop on “3D Printing for Home Science” on 23rd February 2022 by Mr. Harsh Mehta, WOL3D, Coimbatore. Beneficiaries - 36 Students from Department of Interior Design, Textiles and Clothing and Human Development.
4. Conducted a one-day workshop on “3D Printing for Bio Science” on  14th  September 2022 by Ms.V.Narmadha,Technical Assistant,AAI SP. Beneficiaries - 24 Students from Department of Botany, Zoology  and BCBT.
5. Conducted a one-day workshop on “Prototype Experiments for Beginners” on  4th  November 2022 by Ms.V.Narmadha,Technical Assistant,AAI SP. Beneficiaries - 17 Students from Department of Computer Science, Physics and FSMD.

Activities

1. Trained Students from I B.Sc. Computer Science in "Embedded Systems and IoT"
2. Conducted a "One Day Awareness Program on IoT" for School Students from Sri Avinashilingam Higher Secondary School, Coimbatore.