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For aquaculture management, the presence of unwanted predatory or trash fishes in the newly stocked fish ponds create a great nuisance because of their competition with desired fishes for food and shelter. In this perspective for eradication of such predatory fishes by using phytopiscicides the present study was conducted to determine the median lethal concentration (LC 50) value of Antigonon leptopus aqueous fresh leaf extract on Rupchand fish (Stramoteus sinensis) in laboratory condition. Piscicidal effect had been studied by using five different concentration of aqueous leaf extract (40mg/L, 80mg/L, 120mg/L, 160mg/L and 200mg/L) on fingerlings of Rupchand fish. The phytopiscicidal effect was tested for 24 hours of exposure and the LC50 value 57.54mg/L was estimated by probit analysis. LC50 values were found to be inversely proportional to exposure duration. Moreover, the acute (LC 100) effect that killed all the test fishes within 24-hrs was determined to be the highest concentration of 235.59mg/L. where as in control no such effect had been found. The phytochemicals present in tested plant material and also the water parameters (TDS, DO, pH etc.). The dose response mortality and behavioural changes were studied against the aquous leaf extract of Antigonon leptopus Hook. The result indicated the potential piscicidal property of this botanical. Being a potent biodegradable, easily available, eco-friendly, icthyotoxicant against environmentally hazardous synthetic chemicals, aqueous fresh crude leaf extract of this plant species may be used for eradicating unwanted predatory or trash fishes for pre stocking management of pond-based aquaculture which would be helpful for making future ecofriendly industrial product.

The advent of digital communications has revolutionized education, and internet-based learning has emerged as a powerful tool for breaking down physical and logical barriers to learning. With classrooms increasingly moving to online platforms, it is imperative to develop cutting-edge technology that enables automatic question paper generation and answer prediction through artificial intelligence. This approach provides a seamless way to evaluate students' continuous performance, regardless of their geographical location or time zone. In this paper, we present a comprehensive survey of several studies related to automatic question paper generation and answer prediction strategies, utilizing several related Python modules. Our primary focus is on state-of-the-art techniques for generating questions automatically and predicting answers using online resources. By analyzing current research trends and identifying existing challenges, we aim to offer valuable insights and recommendations for future research in this critical field.

In recent years, the increasing number of incidents of violence against women has raised serious concerns about their safety. To address this issue, we have developed a wearable woman safety device that can be easily worn by women for personal protection. The device consists of a small GPS tracker, a trigger button, and a loud buzzer. The GPS tracker allows the device to pinpoint the user's accurate location and sends a call and an alert message to their emergency contacts in case of an emergency. The trigger button is strategically placed to allow quick access in case of danger. Pressing the trigger button triggers a loud buzzer that alerts those nearby and scares off potential attackers.The device is lightweight, compact, and easy to carry.

This article design a new image encryption technique based on cloud application where a modified Feistel cipher and the three scrambling methods are used to encrypt the different gray scale images. Here, the three scrambling methods such as bit scrambling, block scrambling and random pixel permutation are developed to design the proposed scheme. The irreducible polynomial method is applied to implement the block scrambling technique and the random permutation technique is implemented using the chaotic map. These three scrambling methods are used to implement the confusing-diffusion architecture of this proposed scheme. Finally, the modified Feistel cipher is used to change the pixel intensities. This scheme has been examined by the different statistical tools such as NPCR, UACI, Entropy, Histogram analysis and Correlation coefficients. The different experimental results state that this scheme is secure from different types of attacks and also proved that the straightness properties of this proposed scheme.

With growing demand of digital data transmission through communication channel becomes very risky method. Since secure data transmission through online is challengingmatter as it suffer from different types of threat. The best way for secure data transmission through the communication channel is encryption method. There are different types of facts such as audio, text, video and picture can be transmitted digitally. In recent moment, the image encryption process most valuable topics in among the digital data transmission. There are different image encryption schemes that can develop by different authors and tryto protect them from different types of threats. This paper mainly concentrates on verity of image encryption method with chaotic map and also discusses each paper security analysis.

B. Tech Student, Haldia Institute of Technology, Dept. of IT, Haldia, WB, India Haldia Institute of Technology, Dept. of IT, Haldia, WB, India Global Institute of Science and Technology, Haldia, WB, India In today’s world everything we use needs security, especially when we are using something on internet. For security purpose, we use text passwords as it is the most popular user authentication method, but have security and user friendly problems. To address this problem, some researchers have developed authentication methods that use pictures as passwords. Graphical passwords offer another alternative, and are the focus of this project. Graphical password authentication systems are a type of Image-based authentication that attempt to understand the human memory for visual information. In Pass Points, passwords consist of sequence pixel click-points on a given image. Users may choose one pixels in that image as click-points for their password. To log in process, they repeat the sequence of clicks in the same order. In this paper, we conduct a modified intuitive approach of the graphical password techniques.