In the construction Industry, the utmost utilized commodity is Concrete. Concrete has excessive strength and stability. While construction, huge amount of waste is generated. This waste can be used as admixtures, or can form a complete different product altogether. By excessive and mass production of these waste products, a hazardous effect can transpire on the environment. Hence we need to observe keenly and perceive a way to reduce or reuse this waste to create something prime and non-perilous for the environment. The all-inclusive performance of Reinforced Concrete Composite material is pretentious i.e affected than the individual performance of the concrete itself, due to which a new material was explored. This paper reviews that how concrete can behaves when cement can by replaced by various products like the GGBS (Ground granulated blast furnace slag), foundry slag fly ash etc.in different proportions some time these materials were used at an replacement level of 50%, which has lower heat of hydration, higher durability when compared with normal Ordinary concrete. Many a times used at a replacement level of 50%, which has lower heat of hydration, higher durability when compared with normal Ordinary concrete. This paper will reviews different properties of concrete when Alccofine material of used as cementitious material. Results were indicates that use of alccofine powder will enhance different properties of concrete.

People working in banks face many problems, including approving loans. The project proposes a loan sanctions system that determines whether a loan should be provided to someone based on certain attributes. Although the bank follows strict rules and regulations, and conducts detailed background checks when approving loans, and keeps in mind the individuals ability to repay the loan, in this case, people often fail to repay the loan and have already given it to him. In this project, the system , propose for bankers will help them predict the trusted customers who have applied for loans, thereby increasing the chance of timely repayment of loans. This prediction is done using LSTM neural network. To improve the performance of LSTM , Whale optimization algorithm is used in this project.

Video tagging is a complex problem that combines single-image feature extraction with arbitrarily long sequence understanding. By improving at the task of tagging videos with useful metadata labels, we necessarily improve our ability to understand the content and context of video data. A lot of existing methods fail to precisely tag videos because of their lack of ability to capture the video context. The context in a video represents the interactions of objects in a scene and their overall meaning. In this work, we propose a novel approach that integrates the video scene ontology with CNN based YOLO algorithm for improved video tagging.

Reinforced concrete is the one of the versatile and economical material which is used in the world wide. Steel is used as reinforcement material in the concrete. Reinforcement embedded in the brittle concrete imparts tensile strength. Corrosion of these steel is a main factor that affects both durability and strength when subjected to the sever environment conditions. The concrete who’s PH below 10 will destroy passivity of reinforcing steel bars and leads for corrosion. This paper includes the experimental analysis on prevention of steel corrosion in concrete by using natural inhibitor allium sativum. As corrosion is longer process solution of HCL and water is used to increase rate of corrosion in in varying proportion 30% and 50% of total weight of solution. Artificial inhibitor epoxy resin is used for result comparison. Results of weight loss test and electrical resistance were showed that allium sativum is a good inhibitor and having inhibition efficiency between 90%- 95%.

Big data is a set of data that has images, videos, audio and many more. This unstructured information and unconventional qualities from conventional data sets are commonly connected with additional difficulties in putting away, breaking down and applying different systems or extricating results. Big Data examination involves reviewing huge measures of detailed information to discover modest examples or perceiving stowed away relationships. Big Data applications have been rising during the last years, and scientists from many systems know about the upsides of information extraction from this sort of issue. Notwithstanding, it cant uphold conventional learning approaches because of adaptability issues. A small collection of experiments has been directed on imbalanced information grouping for Big Data as a new regulation. The concern behind this is the challenges in adjusting standard procedures to the Map-Reduce programming style.