A greenhouse is a structure made mainly of transparent material, such as glass, in which plants are grown in a controlled environment. Traditional method of monitoring greenhouse involves human labour and is time consuming. The proposed system uses the concept of IOT (Internet of Things) and is much more efficient. The greenhouse environmental parameters are continuously sensed using various sensors and the collected data is displayed on a customized website. Thus, the greenhouse can be monitored from anywhere and at any time. The variation in individual sensor's data over time can be graphically plotted for improved monitoring and analysis.

A human brain responds at a much faster rate to images and the information it contains. An image is considered as proof of past events that have occurred, but in today's world where editing tools are made available so easily tampering of images and hiding the original content has become too mainstream. The identification of these tampered images is very important as images are considered as vital sources of information in crime investigation and in various other fields. The image forgery detection techniques check the credibility of the image. Various research has been carried out in dealing with image forgery and tampering detection techniques, this paper highlights various the type of forgery and how they can be detected using various techniques. The fusion of various algorithms so that a complete reliable type of algorithm can be developed to deal mainly with copy-move and image splicing forgery. The copy-move and image splicing method are main focus of this paper.

This paper proposes a way of controlling the position of the mouse cursor with the help of a fingertip without using any electronic device. We can perform the operations like clicking and dragging objects easily with help of different hand gestures. The only necessary input device for the suggested system is a webcam. The software will need to be implemented using Python and OpenCV. The output of the webcam will be shown on the computer's screen so that the user can fine-tune it. NumPy, Autopy, and Media pipe are the Python requirements that will be utilised to create this system. Key Word: Open Cv, Autopy, Mediapipe Numpy; Calibrated, Gesture.

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