Volume 8 Issue 7
NLP Enabled Automation for Classroom Operations
Author's Name: Rajesh M, Parvathi

Abstract— To implement a low cost and secure Android based Classroom Automation System using Natural Language Processing (NLP). The system is voice based as we use voice to ON/OFF appliances of classroom. The system can be made secure by sharing the android application only accessible to authorized user. When the user sends a voice command to the mobile device, which interprets the message and sends that proper command to the specific appliances. The mobile device acts as a central console as it determines what operation must be completed by which appliance to full the user’s request. The Raspberry pi will be used as a interface for the appliances connected to the relay board and programmed in a manner that they respond to mobile inputs.

Recognition Systems Using Machine Learning for Leaf Classification
Author's Name: Subhashin

Abstract— Centrifugal pump, priming function plays a vital role. Priming means to remove the air from pump and its piping systems & to create vacuum so that pumping liquid will flood inside the pump. When water level is positive means above the center line of pump then priming is not required but in case of negative water level means water level is below the pump center line, priming is required. There are some conventional methods exist like use of foot valve, use of priming pots etc. which requires more time & human efforts during every start of pump which is not possible. To avoid the more initial time & efforts, some self-priming systems & mechanism

Advancing Societal Development and Enabling Social Transformation through Blockchain Solutions
Author's Name: Dinesh M, Karthik

Abstract— Artificial Intelligence is the study of how to make computers do things which at the moment people do better. The primary goal of artificial intelligence is to improve computer behaviour so that it can be called intelligent. The origins of Artificial Intelligence usually incorporate the theories and thoughts proclaimed by several ancient Greek philosophers and scientists. Whenever we all are casting a boat how do we make sure that the person or the purpose you vote gets the boat do we have any proof ?From United States to India to many democratic countries people have insecurities after casting their vote.Over here Blockchain technology can be used.

The growing preference for branded products over local alternatives
Author's Name: Haini Vikam, Janani Sundri

Abstract— This The purpose of the study of original research work is to understand and explore the consumer perception of local and branded product in India. The purpose of this research is to enrich our knowledge of the Indian markets and provide insights in to how local vs. branded product usage rate creates an impact on the mind of consumers. The main objective of the research is to study the variation in the perception of the consumer. The intention is to extract a possible outcome as to examine on the impact of different factors on the perception of the consumers towards local and branded products. For the study a questionnaire has been designed distributed and filled by the different sections of the society varying in age lifestyles occupations gender etc. in India. The population of this research consisted of online an outlet buyers from different parts of India. The sample of this study comprised of 100 online and outlet buyers. A pre structure questionnaire was used to measure the perception of the respondents towards local vs. branded products

Facial Identification Employing a Convolutional Neural Network (CNN)
Author's Name: Simbiraman

Abstract— Smart home systems achieved great popularity in the last decades as they increase the comfort and quality of life. Most smart home systems are controlled by smartphones and microcontrollers. A smartphone application is used to control and monitor home functions using wireless communication techniques. We explore the concept of smart home with the integration of IoT services and cloud computing to it, by embedding intelligence into sensors and actuators, networking of smart things using the corresponding technology, facilitating interactions with smart things using cloud computing for easy access in different locations, increasing computation power, storage space and improving data exchange efficiency. The development proposed in thesis incorporates smart sensors, communication channel and protocols for data exchange, peripherals such as atmega328, MQTT Tx. Rx. Kit, (for data interchange) Data Receptor and Decoder Shield, addressing & de-addressing data module, comm. IOT, in other words, integrates the ubiquitous communication, pervasive computing, and ambient intelligence. IoT helps to link the base station (equipped with the atmega328 Interface) which interacts with the entire module located at home. IoT here also helps to mitigate the installation and running cost and covering it all within acceptable boundaries and scope of the economy

Error Prediction in Software Using Machine Learning Algorithm
Author's Name: R. Anusuya, Sadhana Yadav

Abstract— Software Engineering is a branch of computer science that enables tight communication between system software and training it as per the requirement of the user. We have selected seven distinct algorithms from machine learning techniques and are going to test them using the data sets acquired for NASA public promise repositories. The results of our project enable the users of this software to bag up the defects are selecting the most efficient of given algorithms in doing their further respective tasks, resulting in effective results.

Evaluating Conventional and Automatic Priming Approaches in the Operation of Centrifugal Pumps
Author's Name: Arihant sudhar, Namika Rajan

Abstract— This In centrifugal pump, priming function plays a vital role. Priming means to remove the air from pump and its piping systems & to create vacuum so that pumping liquid will flood inside the pump. When water level is positive means above the center line of pump then priming is not required but in case of negative water level means water level is below the pump center line, priming is required. There are some conventional methods exist like use of foot valve, use of priming pots etc. which requires more time & human efforts during every start of pump which is not possible. To avoid the more initial time & efforts, some self-priming systems & mechanism

Surveying Image Processing Methods for Accurate Plant Disease Identification
Author's Name: Suganth Selvan, Varun Ram kumar

Abstract— This Our economy is extremely relying on agriculture production. One of the recent research topics is recognition, classification and detection of diseases from the leaf image of a plant. Plants are affected by various kinds of diseases, which causes great harm to the agricultural plant production. Today artificial intelligence and machine learning techniques is capable enough to detect and identify the plant disease. One of the biggest advantages of using AI and ML in agriculture is to reduce the hectic work of constant monitoring of crops field spread over hundreds of acres. Machine learning algorithms detect diseases in early stages as soon as they emerge on the plant surface. The aim of this research is to develop a software system that mechanically finds and classify diseases. The techniques like “image acquisition, pre-processing, segmentation, extraction and classification” are used in it. The leaves picture is captured to detect the plant disease. Thus, use of image processing techniques to detect and classify diseases in agricultural application is useful.

Predictive Analysis of Health Insurance Using Data Science and Machine Learning in Python
Author's Name: AKannumani, Muthukumar

Abstract— This Wellbeing safety net providers keep up enormous databases containing data on medicinal administrations used by petitioners, regularly crossing a few human services administrations and suppliers. Appropriate utilization of these databases could encourage better clinical and regulatory choices. In these informational collections, there exists numerous inconsistent divided occasions, for example, emergency clinic visits. Be that as it may, information mining of fleeting information and point procedures is as yet a creating research territory and separating helpful data from such information arrangement is a difficult undertaking. In this paper, we built up a period arrangement information mining way to deal with anticipate the quantity of days in clinic in the coming year for people from a general protected populace dependent on their protection guarantee information.

Assessment of Microbial Contamination and Pollution Levels in Reservoirs
Author's Name: Sumathi Varathman

Abstract— This Geo-statistical techniques were applied to groundwater quality data to investigate spatial distribution analysis and controlling mechanisms of groundwater chemistry and seasonal variability of groundwater quality parameters in Central delta of Godavari River, East Godavari District, Andhra Pradesh, India. Groundwater samples were collected from 15 observation wells and analyzed for 13 water quality parameters in pre and post monsoon seasons during the year 2015. The results revealed that groundwater quality were distinctly different between two seasons. The finding indicates that concentration of pH, Total Dissolved Solids, Sulphate, Chloride, Alkalinity, Total hardness, Calcium, Magnesium, were found above the standard limits prescribed by BIS. The study also indicates that a moderation in water quality was observed after the monsoon season which can be attributed to a possible dilution due to clear groundwater recharging effect of precipitation by monsoon. The present study suggests that geostatistics is helpful for analyzing the spatial distribution and seasonal variation distinguishing the influences of natural factors on groundwater chemistry

Evaluation of Seasonal Changes in Groundwater Quality
Author's Name: Sunil Rahavan, Sunram rajesh

Abstract— This Microbial investigation of Perumchani reservoir was undertaken to find out the impact of humans on this precious water resource. Microbiological analysis showed the presence of Total coliforms, Faecal coliforms and Streptococcus faecalis. The level of bacterial contamination which has been observed in this reservoir water under investigation supporting the fact that the water of the reservoir is being polluted in nature. The results also revealed that the situation is alarming. A massive bacterial gene pool was obtained after this study was indicative of immense bacterial diversity in the region. The Faecal coliform vounts exceeding acceptable limits are pinpointing of pollution from domestic wastes from several settlements located around the reservoir. Water uses in the area were determined and were found to be mainly agriculture and domestic. The gross pollution of the reservoir exposes the local people who depend on it for their primary water source to serious health risk