Personal Assistants, or conversational interfaces, or\nchat bots reinvent a new way for individuals to interact with\ncomputes. A Personal Virtual Assistant allows a user to simply ask\nquestions in the same manner that they would address a human,\nand are even capable of doing some basic tasks like opening apps,\nreading out news, taking notes etc., with just a voice command.\nPersonal Assistants like Google Assistant, Alexa, Siri works by\nSpeech Recognition (Speech-to-text) and Text-to-Speech.

/pdf/the-voice-enabled-personal-assistant-for-pc-using-python-33m4p6ih2i.pdf

The Voice Enabled Personal Assistant for Pc using Python

Over the past few years we can see there is an\noccurrence of floods at different parts of the world almost every\nyear. The technical advancements in recent years have made it\neasier to get a solution for these natural disasters. One of such\ntechnologies which takes us much closer to the internet is the\n“Internet of Things”. This paper consists of flood detection and\navoidance system using the iot technology. The sensors present in\nthis are used to estimate the water levels, humidity, and\ntemperature and send the real-time data to the cloud and the users\ncan access the data via the mobile app. This model is widely used\nto alarm the people before a flood occurs and necessary\nprecautions could be taken.

/pdf/a-study-on-iot-based-flood-detection-management-system-3iovbxet1t.pdf

A Study on IoT Based Flood Detection Management System

The development of a low-cost and high-precision water level indicator and controller using Arduino Uno and an ultrasonic sensor is the focus of this research study. The system aims to accurately measure the water level in a tank or reservoir and control water flow automatically. The research study involves designing and implementing the water level indicator and controller using arduino uno and an ultrasonic sensor. The system is designed to be low-cost and easy to install, making it ideal for use in households, small businesses, and rural areas. The ultrasonic sensor is used to measure the distance between the water surface and the sensor. The arduino uno microcontroller then calculates the water level using this distance measurement and controls water flow using a motor or a solenoid valve. The system's performance is evaluated based on its accuracy, reliability, and response time. Environmental factors such as temperature and humidity are also considered in the evaluation process. The research study shows that the water level indicator and controller using arduino Uno and an ultrasonic sensor is a reliable and cost-effective solution for water management. The system can help prevent water wastage, reduce water bills, and ensure a steady water supply. The research study provides valuable insights into the development of low-cost and high-precision water level indicator and controller systems and their potential applications in water management.

Designing an arduino-based low-cost and high-precision water level indicator and controller with ultrasonic sensor

The Knowledge about the distribution of weeds\nwithin the sector could also be prerequisite for the\nsite-specific treatment. Optical sensors changes to detect vary\nweed densities and species which can have mapped using GPS\ndata. Weeds are extracted from the pictures that are using the\nimage processing and therefore the report by the\nform features. The classification supported the features\nreveal the type and therefore the number of weeds per the\nimage. For the classification the sole maximum of sixteen\nfeatures out of the eighty-one computed ones is employed.\nWhich enables the optimal distinction of weed classes is used\nthe choice is usually done using processing algorithms,\nwhich the speed discriminate of the features of prototypes. If\nno prototypes are available, clustering algorithms are\noften used to automatically generate clusters. Within the next\nstep weed classes are often assigned to the clusters. Such\nprocedure aids to select prototypes, which are completed\nmanually. Classes are often identified, that are distinct within\nthe feature space or which are overlapping, and thus not well\nseparable. The clustering is usually utilized in some, less\ncomplex cases to work out automatic procedure for the\nclassification. By using the system weed plants are generated.\nThese are differentiating to the results of manual weeds sampling.

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The Weed Plant Detection

The primary goal of this research is to assist the development for forecasting errorless and reliable commuter traffic. As the flow density of the traffic on road expands, traffic control has now become a critical concern in recent years, whether that is traffic stoplights, rallies, vehicular homicides, or indeed road maintenance work. Technology is required in today’s environment. Furthermore, it promotes the implementation of self-governing cars. Automobiles really are one of the essential means of technological refinement. Intelligent Transportation System (ITS) is a sort of Intelligent Traffic Software that involves communications and interaction technologies to tackle traffic control concerns. This System encapsulates the much more pressing transportation challenges. Intelligent Transportation System (ITS) is a tried-and-true methodology that use modern technologies with sensors and communication to enhance transportation efficiency. Intelligent Transportation might sometimes alleviate difficulties like commuter traffic and poor safety by adopting the most up-to-date traffic management strategies. By enhancing information, consumer electronics, and control based on wireless broadband connection. At the moment, tracking data is adding support as a progress has been made towards big data notions and associated assimilation into transportation. Signalized intersection prediction methods make use of some traffic estimation techniques, however they are still inadequate to application scenarios. Furthermore, Image Processing techniques are connected to traffic sign recognition, which subsequently contributes in the requisite skills of self-driving vehicles. 

Traffic Prediction for an Intelligent Transportation System using ML

In everyday life, million liters of water are getting wasted by overflowing and also heavy usage. To reduce this ,we have to implement some overflow control techniques to minimize the heavy wastage of water. For this purpose, we propose the Smart water level management system. This system uses an ultrasonic sensor to detect the water level and it is based on the sound made from flow of water it calculates the level of water in percentage and returns the value to the LCD display. It will calculate the level of water up to 100% by the intervals of 10%. After each interval it reaches the value is displayed on the LCD screen. This system is connected with relay switch which will automatically turn OFF and ON based on level of water. When the water level reaches 0% it will automatically turned ON and if it reaches 100% it will automatically turned OFF. We can also control the system online using a WiFi module which connects the system with web application we created. By also using PH sensor we can check the purity of the water. The result of this will be displayed on our web application.

/pdf/the-efficient-automatic-water-control-level-management-using-1lz1frgfws.pdf

P. S. Lavakumar

Papers

The Efficient Automatic Water Control Level Management using Ultrasonic Sensor