The Internet Of Things(IOT) refers to the growth of connected objects that are able to collect and exchange data in real time using sensors. The devices and machines are connected to each other and to the Internet and perform specific tasks based on the information given to the devices. As we know, most of the Indian people have agriculture as their occupation. Farmers will have the ethos of growing or planting the crops, with the help of fertilizers. 5years ago Machine learning was used in different industries, research. So we got an idea to use Machine Learning(ML) in the agriculture field to help the farmers. In olden days farmers used the manual method of yielding the crop, testing the soil pH value, and based on some assumptions they predict about the climate conditions. Farmers can get the field details easily through these sensors with accurate values.

IoT has become a primary target for data theft. There is a legal risk if disconnection of a user from a network occurs frequently. Moreover, service providers would be accountable to the financial and legal issues if they fail to provide network services. Such vulnerabilities are the Deauthentication attack, Beacon flooding attack and Probe Request Flooding attack during which, on behalf of a target computer, an attacker sends spoofed frames to an Access Point (AP) essentially refusing its access to the network. IEEE 802.11 (Wi-Fi) contains the provision for a Deauthentication frame. It also has beacon, probe request and probe response frames which are unencrypted. Wi-Fi Deauthentication attack, Beacon flooding attack and Probe Request Flooding attack are types of Denial of Service (DoS) attack. They target the communication between a user & a Wi-Fi Access Point (AP) by spoofing the MAC address of AP. The scope of this project is to design a Real-Time IoT network model to detect the Deauthentication attack, Beacon flooding attack and Probe Request Flooding attack. This model can find which AP gets the respective frames. This technique can be easily deployed on open as well as encrypted networks. Proposed model is implemented by using ESP8266 Wi-Fi Module. It can detect these attacks in Wireless LAN (WLANs) by displaying/extracting the victim BSSID. It has the Launcher and Detector scripts to be used in the development of the proposed model. Besides, this lightweight model can detect attacks with high accuracy and low false positive rate.

The objective of our extension is to decrease the mortality rate of mischance casualties happening day by day. We use GPS to find the accurate location of accident victims and use GSM to send emergency notification-based modules to detect and send the accurate location of the accident victim. An accelerometer sensor is used to detect the accident or impact, even when the vehicle topples. When an accident is detected, automatically the GPS detects the location and alerts the nearby ambulances by navigation. This helps them to reach the victim directly, saving time. The victim is taken into an ambulance and the vital health parameters of the victim are read, and this information is sent to the hospitals through an app, so that the staff gets prepared with the required necessities to treat the patient. This is what differs mainly from proposed projects till now. Finally, our ultimate goal is to reduce the number of victims suffering from accidents and eventually dying, because an accident is not just an instance, it is the life of a person.

With the rapid growth in population, urbanization, and economic development the amount of waste that is being generated is increasing. According to an estimate, the world generates 2.01 billion tonnes of solid waste annually. By 2050, the expected growth in the amount of waste generated will be increased to 3.04 billion. Many countries today are facing lots of issues regarding the proper collection, segregation, and disposal of the solid waste generated. Improper methods adopted for the same can lead to various environmental hazards and can impact the health of the citizens of the country. The economic value of waste is realized only after its segregation. As the slogan states “Recycle today, for a better tomorrow”, the important step involved in recycling waste is its proper segregation. This is better utilized if the segregation is at the source itself. In the present scenario, there is no cost-effective system that is capable of segregating solid waste into different categories such as glasses, plastics, metallic waste, and wet waste at the source of generation itself. Most of the solid waste such as glass and plastics are recyclable, therefore we aim to segregate the wastes into the aforementioned categories with the help of various sensors available and automate the process of segregation, thereby reducing the manpower required for segregation which in turn reduces the occupational hazards of the manual workers.

Blindness is a more severe problem among the disabilities of humans. It is difficult to lead a normal life for blind people like a sighted person. Because they cannot feel their surroundings. So, most of the blind people require travel aids to travel freely in an unknown environment. Researchers invented several devices to make independent navigation for blinds. But most of them are invented for a specific task or the devices do not cost friendly. The device eliminates the requirement of human assistance for blind while traveling outside. The device will follow a predefined line and will follow the wall, will detect an obstacle, hole and stair and give sound notification to the user. The device will act as an assistant to the blind people.

Dynamic Ocean Exploration and Navigational Research is driving undertakings by supporting undertakings with PC vision frameworks have exhibited potential for pontoon robots made in order to make estimations at the surface. The marine condition presents a basically impeccable demonstrating ground for appraisal and improvement of mechanical advances. Robot cruising is a troublesome task in building and controlling the vessel thus it joins a wide scope of controls. The cruising robot explores comprehension of video film, the distinctive confirmation of cruising features, human-robot collaboration, vehicle control, position estimation and mechanical arrangement. It evaluates marine regular environments and complex moves.
An idea given has been a Mechanical vehicle which establishes normally and genuinely controls the moving article on water, the robot will get and send the information to the PC which uses moved picture getting ready development and takes a gander at appropriate pictures by recognizing lowered features which will follow the thing present in the outside of ocean.

With this project, we aimed to establish an ecosystem where various devices and appliances in a house communicate with each other. This enables the existing infrastructure like fans and bulbs to be communication ready with upcoming technologies. The project was aimed to build systems than made homes safe, reliable, and self-sustained. New processes were set up that increase the efficiency of the day to day tasks. One key goal along with the rest was to reduce the total carbon footprint of the house on the environment. The key functionalities included were to build secure mechanisms and logic for automated door access control, Air Quality Management & Temperature control, and facial recognition. Along with this, a system comprising of various sensors was built which could monitor water level in tanks, control valves and gas leakage which makes a house safe to live in.