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1 | Serial No. | Name of the Faculty | Title or name of the patent | Details | National/ International | Patent Application Number | Year | |||||||||||||||||||
2 | 1 | Dr. Samapika Das Biswas | SMART STEM LEARNING App | Techniques disclosed herein the idea of automated smart learning preparation on different subjects. The server system communicates with a client system to represent set of subjective study chapter and set of subjective assessment questions on a user interface. The server system receives a user acknowledgement for each transmitted study chapter and receives a user response for each transmitted assessment question and then compares the received user responses with data stored in a subjective answer database at the server system to generate an estimated proficiency score on a subject for the user. The server system produces score report card based on proficiency score. | National | 202131003591 | 2021 | |||||||||||||||||||
3 | 2 | Dr. Samapika Das Biswas | MY LINGO LEARNING App | The invention identifies with a versatile boosted instruction stage. It further identifies with a technique for fitting a learning program and to a powerful framework for giving instructive substance. Specifically, the current invention identifies with a technique, stage and framework that advances language picking up utilizing gamification and boost. The current invention identifies with a technique, stage and framework which assembles and progressively refreshes a client profile to tailor instructive substance and methodologies to draw in the client. The substance showed to the members is powerfully refreshed dependent on the activity taken by one of the members during the learning movement, to portray progress towards the target. The creation relates for the most part to online educational courses. All the more explicitly, the development identifies with a System and strategy for showing unknown dialects over a system. | National | 202131003586 | 2021 | |||||||||||||||||||
4 | 3 | Dr. Samapika Das Biswas | LOW - COST LPG CYLINDER MONITORING SYSTEM WITH GAS LEAKAGE DETECTOR | It is very much difficult for us to get to know that when is our LPG Cylinder going to be out of fuel or service. It is also very much difficult to detect any gas leakage in kitchen. So keeping these issues in mind we have developed a low cost LPG cylinder monitoring system with gas leakage detector. This device uses a load cell of 40kg, HX711 load cell amplifier, MQ-2 Gas sensor, Arduino Uno, LCD with I2c module, Switch, Buzzer and a 5v dc power supply. | National | 202131015751 | 2021 | |||||||||||||||||||
5 | 4 | Biswadip Basu Mallik | Lung Cancer Detection and Recommender System using Deep Learning | The Smart Lung Cancer Recommendations using Deep Learning (SLCRDL) help the doctors/patients to know the stages of the cancer as per the taken lung cancer image. The SLCRDL is designed in such a manner to predict the testing lung image cancer stage by matching with the trained image data sets with the help of appropriate Deep Learning (DL) algorithms. The huge collection of lung image data sets are used to train the SLCRDL. Then the patient’s taken lung image is inputted to the SLCRDL to know the cancer stage. By using this SLCRDL, the patient itself can know whether he/she is having cancer or not along with its stage. It gives smart safety recommendations to protect from further growth of the cancer as a precautionary basis. Also the doctors can make use of this SLCRDL to take initial decision up to a particular level. | National | 202041043972 | 2020 | |||||||||||||||||||
6 | 5 | Biswadip Basu Mallik | A Machine Learning technique to support decisions along with self study of Covid Patients | A machine learning technique to support decisions along with self-study of COVID, patients aim at implementing techniques to manage the database of COVID recovered patients and run a machine learning algorithm to get a self-decision and suggestion oriented system to analyze the side effects of COVID recovered patients. This invention will help the medical team to cope up with the new pandemic that is COVID-19. | National | 202141002009 | 2021 | |||||||||||||||||||
7 | 6 | Biswadip Basu Mallik | System for monitoring Physically Disabled person in care facilities using Artificial Intelligence and Cloud Computing | The present invention relates to system for monitoring physically disabled person in care facilities using artificial intelligence and cloud computing. The objective of the present invention is to solve the problems in the prior art related to technologies of monitoring physically disabled person in care facilities. | National | 202141019459 | 2021 | |||||||||||||||||||
8 | 7 | Biswadip Basu Mallik | Cloud based secured Data transmission using Trapdoor Encryption | Cloud administrations have become an amazing design to perform complex huge scope figuring errands and length a scope of IT capacities from capacity and calculation of information base and application administrations. Distributed computing has various good angles to address the fast development of financial aspects and innovative boundaries. While enlisting the subtleties, each client gets a public key and private key. Information proprietor creates set of hidden entryway keys and ABE key which are sent to the client. 3 - 4 Trapdoor keys are created and everybody is a couple of keys. At the point when worker creates one key client needs to give another pair of the keys. Any document content is covered up with any picture made stegano, the interaction steganography and shipped off the worker. Worker destegano the picture and afterward gets the other pair of the secret entryway key and checks for confirmation. After confirmation worker checks the entrance strategy for information access through ABE | National | 202141024812 | 2021 | |||||||||||||||||||
9 | 8 | Prof. Dibakar Roy Choudhury, Souhridya Bhattacharjee,Debashis Saha | A multipurpose 4 in 1 Smart Electronic Mask for fighting against COVID-19 with inbuilt sanitizer sprayer, safe distance alert, body temperature reading displaying system with 3 layer protection | cloud computing. The objective of the present invention is to solve the problems in the prior art related to technologies of monitoring | National | 202131003589 | 2021 | |||||||||||||||||||
10 | 9 | Prof. Dibakar Roy Choudhury, Prof. Prabir Kumar das ,Souhridya Bhattacharjee | Anti theft wallet using LDR sensor module and buzzer | physically disabled person in care facilities. | National | 202131008839 | 2021 | |||||||||||||||||||
11 | 10 | Prof. Dibakar Roy Choudhury, Prof. Prabir Kumar das ,Souhridya Bhattacharjee,Deeptendu Santra, Parichita Saha, Debdeep Dasgupta | Automatic Body Temperature Sensing Gateway | Our automated approach to the recent COVID19 problem will not only strictly follow the COVID19 health guidelines but also minimise the risk of infection due to improper temperature measurement. Our aim is to devise a system which when senses the palm of an individual placed at the proper location will measure the body temperature from their upper wrist, following which, it will accurately show the temperature on a digital screenwhich will determine whether the individual will be allowed or not. Using an Arduino based gateway systemthat will restrict the individuals from entering the premises (those having very high temperature, exceeding 38 deg C) and on the other hand will also allow individuals having permissible temperature. Following the gate, the individual will pass through a sanitization tunnel and that person will be completely sanitized. | National | 202131015752 | 2021 | |||||||||||||||||||
12 | 11 | Biswadip Basu Mallik | Deep Learning Based Automatic Attendance Generator: An Image Processing – Towards Data Science | This invention relates to an image processing towards data science. Attendance entry or the counting performed to measure the strength of the gathering for many purposes such as duty presence for salary, physical presence in classroom, security purpose entering a meeting hall, to generate dataset for future use, etc. The traditional method of attendance generated is time consuming and maintaining a dataset for future use is tedious. In order to overcome this issue with the help of latest technologies attendance entry can be automated. The face recognition algorithm widely used is Local Binary Pattern (LBP), which generates binary code for each cell and identifies the picture for comparison with the standard image. This LBP algorithm is modified and incorporated with the deep learning tools to automate the attendance generator. | National | 202141029758 | 2021 | |||||||||||||||||||
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