The quick advancement of the internet facility and rapid uptake of social networking sites like Twitter and Facebook has led to the generation of an extensive amount of data never seen previously in the history of humanity. Users are producing and disseminating more content than ever because of the widespread use of digital platforms, some of which are false and spreading wrong narratives. Accurate categorization of textual documents as fabrication or falsehood is a complicated job. The majority of the research emphasizes certain databases or topics, most notably the area of politics. As a result, the trained approaches perform effectively on a specific category of documents field and do not generate robust performance when evaluated to articles from other areas. We proposed a solution to the false news identification task in the presented study by combining NLP and machine learning technologies. In the first phase, the data is pre-processed by employing steps like removing null, duplicate, values, and punctuation marks. After this, the clean data is converted into numeric representation using a count vectorizer (CV) and Tf-Idf vectorizer. While for the classification task, we have used the SVM classifier. Our proposed solution performed well and catered to all possible fake news domains.

Wastage of electricity is one in every of the most issues that we tend to face now-a-days. In our home, school, schools or business we tend to see that fan/lights area unit unbroken on albeit there area unit no one within the area or area/passage. This happens thanks to negligence or as a result of we tend to forgot to show lights off or after we area unit in hurry. To avoid all such things we've designed this project known as "Automatic room light controller using bi-directional visitor counter". the most conception behind this project is understood as "Visitor counter" that measures the amount of persons getting into in any area like seminar hall, room, classroom. This operate is enforced employing a try of Infrared sensors. liquid crystal {display|LCD|digital display|alphanumeric display} display placed outside the space displays this price of person count. This person count are going to be incremented if someone enters within the area and at that point lights area unit turned on. And during a reverse approach, person count are going to be decremented if someone leaves the space. once the amount of persons within the space is zero, lights within {the room|the space|the area unita} are turned off employing a relay interface. during this approach Relay will the operation of "Automatic light controller". Since this project uses two infrared sensors, it may be used as two-way person counter additionally.I.

Two wheeled Self-Balancing Segway, which works on the principle of inverted pendulum, is naturally unstable, nonlinear, and under actuated system. Self-Balancing means the capability of the Segway to balance itself on two wheels without falling. Therefore, the system has to be controlled to reach stability in this unstable state. The two wheeled Segway is considered important due to its applications in daily life. In this paper, a hybrid control system is proposed for upward stabilization and control of two wheeled Segway. The control design approaches proposed in the literature for Segway result in a large control effort which requires high torque causing the saturation of actuator field and ultimately failure of the controller. Controller designed using the proposed approach is able to reduce the control effort by 64% compared to the ones available in literature. Moreover, controller designed through the proposed approach is able to improve disturbance rejection for both pitch and yaw angles of the Segway. Simulation results illustrate the effectiveness of the proposed approach over the ones available in the literature.