Canadian Patent Granted on Feb 2022.

Titled ” ANALYSIS OF IOT BASED WEATHER MONITORING USING FUZZY LOGIC” Anand Nayyar, Christo Ananth, Bandana Mahapatra.

The highlights of the patents

The reason that every family member will be employed and busy, the health monitoring of elderly people and patients has become very crucial. In the proposed methodology caretakers can get information on the temperature and the pulse rate of the people being monitored at home on a real-time basis. Users can also get information about the air quality in the home so that the system can generate an alarm if any hazardous gas is detected. Here further a fuzzy logic approach for real-time monitoring and analysis of the data collected from the temperature sensor, Heartbeat sensor, and Gas sensor has been implemented. Based on the trained data and the collected data from the sensors outliers will be detected. The collected data sent to the cloud can be downloaded using the Thing speak platform.

Indian Design Patent Granted. Titled ” Anti-theft Drug Security device” Dr.Bandana Mahapatra, Dr.Anand Nayyar, Kumar Sanjay Bhorekar, Dr.Ruby Jain, Dec 2021.



The highlights of the patents are: The faculty of the School of Data Sc has designed an RFID-based “Anti-theft Drug Security device” which can help in monitoring the security of theft in the case of Drug storehouses, Hospitals, and medical stores. The design has been approved as a patent by the Govt of India under the “Design Patent” category

Indian Design Patent Granted Dated Nov 2021.

Titled “Nasophatvngeal Swab Sampling Robot” with Patent Number: 347909-001. Authored By: Dr. Anand Nayyar, Dr. Rudra Rameshwar, Dr. Bandana Mahapatra, Mr. Amit Kishor Mr. Pijush Kanti Dutta Pramanik Prof. Ramesh Chandra Panda,

The highlights of the patents are 

A Novel Wi-Fi Based Low-cost Nasopharyngeal Swab Sampling Robot Keeping views of infection for surgeons during the face-to-face COVID-19 swab sampling diagnosis we designed a novel low-cost nasopharyngeal swab sampling robot. This innovation is a one-step-ahead utility using a computer vision system helpful for easy positioning of patients. Medical staffs carrying out the task of collecting NP specimens are in close contact with the suspected patient, thereby posing a high risk of cross-infection. We propose a low-cost miniature robot that can be easily assembled and remotely controlled. The system includes an active end-effector, a passive positioning arm, and a detachable swab gripper within targeted force-sensing capability Australian Patent by Prof Kumarsanjay Bhorekar, Dr. Ruby Jain, and Dr. Bandana Mahapatra:



Patent number: 2021102598 Approved dated: June 2021


The present disclosure seeks a method and a wearable electro-acupuncture device to apply pressure on three main pressure points in the patient’s hand and forearm to increase oxygen percentage in the blood and to increase the immunity of the patient in order to recover quickly from COVID19.


In an embodiment, an electroacupuncture device for COVID treatment is disclosed. The device includes a glove body worn on the hand of a wearer, wherein the glove body is having a dorsal side and a palm side. The device further includes an air pump configured to the dorsal side of the glove body for inflating the glove body with air. The device further includes at least three metallic cones positioned near three acupuncture points to apply pressure on the acupuncture points upon inflating the glove body, thus relieving the person of COVID symptoms. The device further includes a vibrator embodied in the glove body for massaging on the hand of the wearer to relieve COVID symptoms.

Dr. Bandana Mahapatra registered a Patent titled, A Wireless Networking of Medical Equipments on Mobile Application for Paperless Clinic. Approved Dated: July 2021.


Description: The present invention relates to the wireless networking of medical equipment on mobile applications for a paperless clinic. An interface circuit coupled to each medical device communicates with one of the plurality of relay modules via a wireless relay network. The relay modules communicate with the remote monitoring device over an internet-accessible wireless communication network. Each relay module includes a receiver coupled to the wireless relay network first transmitter coupled to the wireless relay network second transmitter coupled to the internet-accessible wireless communications network and controller. The controller determines the status of the internet-accessible wireless communications network. When the status indicates that the internet-accessible wireless communications network is accessible to the wireless relay module the second transmitter is selected for transmitting medical device data. The following model of invention is shown below.


Out of around 300 teams of the School of Data Science is in the top 80 after Task 1of e-Yantra Robotics Competition (eYRC) is a unique annual competition launched in the month of August every year for undergraduate students in science and engineering colleges, polytechnic. Selected teams are given a robotic kit complete with accessories and video tutorials to help them learn basic concepts in embedded systems and microcontroller programming.


Problem statement: To build a drone to deliver various packages to their destinations, optimizing for time and quantity.

Team Members:       Sahil Pansare (SY BSc Data Science)

Yash Pathak (SY BSc Data Science)

Suryajiraje Bhosale (SY BSc Data Science)

Shantanu Patil (FY BSc Data Science)

The competition started in August 2020 will go on till March 2021.

  • 5 teams from School of Data Science & CSIT cleared first round of Packathon organised by PICT Pune in September 2020.

Topic: Sensor that notifies hospital about the accident

Team Leader: Kanika Agarwal (FYBSC)

Topic: Fake links topic

Team Leader: Sahil Pansare (SYBSC)

Topic: Vision to Support Visually Impaired People

Team Leader: Fauzail Karnar (FY B. Tech CSIT)

Members: Sachin Rai, Kshitij Jande, Viraj Garg

  • Anjaneya Turai a 1st Year Student has successfully completed a workshop on the topic “Artificial Intelligence” organized by IIT Bombay. He has also successfully completed the exam on “Fundamentals of Digital Marketing.

Winner of Smart India Hackathon

The students from the School of Data Science have participated in Competitions like Smart India Hackathon and successfully won the first prize at the national level. The details of the competition and participants are mentioned under:

The Students from B.Sc. Data Science participated in Smart India Hackathon 2020 (Software Edition) which took place on online mode from 1st to 3rd August 2020. Smart India Hackathon 2020 is a nationwide initiative to provide students a platform to solve some of the pressing problems we face in our daily lives, and thus inculcate a culture of product innovation and a mindset of problem-solving. In SIH 2020, the students had the opportunity to work on challenges faced within various Ministries, Departments, Industries, PSUs, and NGOs to create world-class solutions for some of the top organizations including industries in the world, thus helping the Private sector hire the best minds from across the nation.

The winning team “Tyche” comprising of 4 students from B.Sc. Data Science, Yash Pathak, Ghritika Pardeshi, Sahil Pansare, and Manasvi Patil, and two students from B.Tech Mechatronics under the mentorship of  Dr. Ruby Jain and Dr. Satish Chinchorkar have bagged the first prize of 1,00,000 for the problem statement given by the Ministry of Petroleum and Natural gas.

Winner of Zeal Covid-19 Hackathon

The Students from B.Sc Data Science, Suryaji Raje Bhosale, Yutika Rege, and Anuradha Shukla under the mentorship of Dr.Bandana Mahapatra also participated in the Zeal Covid-19 Hackathon where they tried to solve the issues related to supply chain management through technology during the phase of nationwide lockdown. There topic “Supply Chain Optimization for last-mile delivery for small and big retailer via using unmanned aerial vehicle”, was presented on 6th June 2020, on online mode which made the win the first prize under the management track with a cash award of R.s. 15,000.