This project aims to select unorganized workers like electricians, mechanic, plumbers, painters, carpenters, etc near us through the android app. It is difficult for customers to find any service anytime anywhere in an emergency so we have developed an android app that helps customers to find the nearest plumbing, electrical, painting, etc jobs easily without any problem through this android app we can provide all services anytime anywhere. It also saves time by finding employees immediately and reducing unemployment.
Data sharing and access area unit capabilities businesses and organizations need the foremost currently. Remote operating and mobile access to resources and collaboration platforms created it easier to access knowledge and resources from anyplace, anytime. Employees need to access documents and email from completely different devices, and from varied locations at a time. Access from untrusted networks is usually a threat to businesses. This may lead to knowledge loss and overexposure of essential knowledge. To mitigate the deficiencies of logical security mechanisms, and coinciding with the trend of cyber-physical systems, security mechanisms are planned that integrate with the physical surroundings. to make sure that business’s knowledge and resources area unit safe. In this project we tend to propose AN innovative Virtual Fence that uses a location knowledge and geospatial intelligence. Geospatial knowledge analysis enhances understanding, insight, decision-making, and prediction. Location intelligence (LI) is achieved via image and analysis of geospatial knowledge. Then we tend to improve the safety of information access in knowledge Server for an organization or the other specific locations exploitation the location-based cryptosystem. Virtual Fence provides a way to secure sensitive data among a company. It are often set to Off, On, Restricted read or browse solely. Once a geo-fenced boundary is outlined, the opportunities what businesses will do is proscribed by solely their creativeness. The most advantage of fitting such a geo fence is in avoiding knowledge discharge. Once outlined the trusty network locations, nobody will access knowledge from a unique network location/device. The experiment shows that our theme is possible in sensible applications.
The expanding aquaculture sector can greatly benefit from having access to comprehensive fish information, which includes data on ecosystems, food requirements, and related details. Relational databases play a crucial role in storing the diverse range of fish species data in the aquaculture industry. However, due to the extensive variety of species and their associated data, organizing and categorizing this information can be a challenging task. Nonetheless, fishermen can derive significant advantages from visual representations of the data and a recommendation system that suggests the most suitable fish species and optimal ecological conditions. By leveraging data on fish species, names, taxonomy, and survival characteristics, a connected user can receive personalized recommendations based on their interests. The proposed system also offers appropriate food variety suggestions for the fish, ensuring scalability and effective generation of recommendations. Through the integration of information from multiple sources, a database system can efficiently process, manage, store, and retrieve relational data. Furthermore, implementing the linear discriminant algorithm enhances the accuracy and speed of food recommendations for fish.
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