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Juice of wheat (Triticum aestivum L., Poaceae) grass is termed as green blood. Wheatgrass is a variety of grass that is used like a herbal medicine for its therapeutic and nutritional properties. The aim of this study is to concise the health benefits of green blood therapy. As wheatgrass juice (WGJ) bears a close resemblance to the "hemoglobin" in our blood, the juice is called as "green blood" and the therapy using it is called as "green blood therapy". The WGJ is a complete food and contains carbohydrates, proteins, all essential minerals, and vitamins. Wheatgrass therapy is recommended for patients suffering from chronic diseases such as asthma, atherosclerosis, Parkinson's disease, joint pains, TB, constipation, hypertension, diabetes, bronchitis, insomnia, eczema, sterility, hemorrhage, obesity, and flatulence. It is also useful in the treatment of cancer. The WGJ is immediately absorbed into the bloodstream and gives energy. On an empty stomach, it is assimilated into blood in about 20 min. The energy lasts throughout the day. It is practically a fountain of youth and found to have numerous health benefits. This review is concluded that the WGJ has higher degree of curative index and this can be last alternative therapy when the all therapy will fail. 16  ContraindicationsWheatgrass is contraindicated in those who are hypersensitive to any component of a wheatgrass containing supplement. Adverse reactionsThe WGJ is safe and the incidence of side effects is very low. It may cause nausea and headache if excessive quantities are taken. Throat swelling may occur in hyper sensitive to individuals.

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It is essential to provide a structured data feed to the computer to accomplish any task so that it can process flawlessly to generate the desired output within minimal computational time. Generally, computer programmers should provide a structured data feed to the computer program for its successful execution. The hardcopy document should be scanned to generate its corresponding computer-readable softcopy version of the file. This process also proves to be a budget-friendly approach to disengage human resources from the entire process of record maintenance. Due to this automation, the workload of existing manpower is reduced to a significant level. This concept may prove beneficial for the delivery of any type of services to the ultimate beneficiary (i.e., citizen) in a minimal time frame. The administration has to deal with various issues of citizens due to the pressure of a huge population who seek legal help to resolve their issues, thereby leading to the filing of large numbers of pending legal cases at several courts of the country. To assist the victims with prompt delivery of justice and legal professionals in reducing their workload, this paper proposed a machine learning based automated legal model to enhance the efficiency of the legal support system with an accuracy of 94%.