The Low Code Development Platform (LCDP) is a versatile platform to handle process, database, mobile and web based applications. The platform provides us opportunity to digitize the activities in IT, telecommunication, government and all other industries as well as different departments of the organization in the form of applications. The manufacturing industry can also incorporate low-code apps for data analysis and their manufacturing processes to automate the process.This research work has proposed a novel sustainable LCDP with optimization techniques for data analysis. The proposed platform allows user to execute data analysis applications in optimization and without optimization mode. The result shows that optimized LCDP reduces both space and time required for the any type of application.

Camping is a popular form of accommodation and outdoor recreation, providing liminal opportunities to escape, revive, and socialize with family, friends, and fellow campers. Surprisingly, online presence of this sector is very low. In this project we tried to create online presence of the campgrounds which can help this sector to grow. There will be two basic users of this project Campaign owners and People who want to campaign. Using proposed website campaign owners can post their campground details on the website free of cost by just creating one account. People who are planning for campaigning review different campgrounds before visiting there, after the actual visit different people can put in their comments and concerns, so that it is a well informed and well-prepared camping trip for other users. Most of the people plan their trip by looking at a review of particular site they are going to visit hence it will great help for trekkers and campaigners out there. This website Include Features like Search nearby campgrounds, Authentication, Authorization, Post Campground, Review Campground, Post Comment on campground. This features makes website effective for all the users..

Fraudulent transactions are very common problem in banking systems internationally, accounting for $5.1 trillion dollars every year. Many financial institutions are facing the common problem of being targeted by transactions of fraudulent nature and its becoming more and more obvious that advanced technology, such as Machine Learning (ML) is needed to counter such acts. Machine learning is the most effective technique against these complex bank frauds when approaches relying on fragmented and siloed data, rules-based approaches or traditional point-solutions are not only costly but also not as effective as needed. Complex algorithms powered by ML can be used to reduce manual investigations in Financial Institutions. Volume of these transactions is huge, lots of current solutions do not focus on big data the proposed model will work on big data with the help of ‘Apache Spark’ using latest machine learning technology. The proposed model will try to find pattern in given data set and flag the transaction as fraudulent or not with probability score and then banking system can decide further course of action. We are also going to include different machine learning algorithms used to detect fraudulent transactions and provide a comparative study between those algorithms to show which is more effective.

Today, Low Code Development Platforms (LCDP) like Mendix, OutSystems, Zoho creators, Lansa, Quick base, and Salesforce works for modernize regular processes and quickly deliver new digitized applications. These platforms are capable to generate desktop apps, mobile apps, database apps and general-purpose apps. Basically, LCDPs has Integrated Development Environment (IDE) provides drag and drop, visual modelling, rapid application development and automatic code generation capabilities which makes them more popular. In proposed low code system, we have introduced optimization techniques for code to improve time and space complexity as well as to increase the sustainability of software. These tools often have What You See Is What You Get (WYSIWYG) editors and drag-and-drop interfaces to make development even easier. Once User Interface (UI) or visual model is prepared by using required tools/components; the respective source code will be automatically generated and optimized, then the application is ready for user to use.

The organizations always ask development teams for new applications because off-the-shelf solutions are not enough to face the rapid changes in market. To overcome this problem and to have solution on tip of finger low code development platforms are developed. These platforms help enterprises to create their own business applications in very less time because it offers drag and drop interfaces and blocks of pre-build modules which minimize handwritten code. Low Code Development Platforms (LCDP) are capable to develop general-purpose, process-based, database, request handling, and mobile-based applications. In response, low code development platforms are growing in popularity to speed up the productivity and delivery of required applications. It makes development easier so that even people without programming skills (i.e. Citizen Developers) can develop applications on their own. The low code programming is based on different approaches like visual modeling, model-driven development, rapid application development and automatic code generation. Because of all these features, LCDP enables organizations to build their own apps by configuring the functions instead of coding the software from scratch. In this paper, we are going to understand limitation of present platforms/techniques from various papers and identify that scope of improvement.