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In the given paper, the main focus of this report is education. Student performance prediction is our main target. Various factors have been taken into account to create a model used for student performance prediction. This helps to analyze the student’s study environment so that his success rate increases in the field of studies. Our project makes use of various effective machine learning algorithms for creating the predictive model. Mainly, it is based on linear regression, decision trees, naive Bayes classification, K nearest neighbours (KNN), and some improvements carried out through feature engineering that modifies the data to make it easier in understanding for ML. Data sets containing students' information are arranged in a tabular format. The row represents the name of the student, while each column contains different details about the student such as his background of the family, sex, any information about medical reports, and age. An additional column contains the variable of success rate that the algorithm is trying to predict. The final report is evaluated through these algorithms in which a function outputs whether the student can be successful or not. “FEAT HUNCH – STUDENT PERFORMANCE PREDICTOR in ML” aims at connecting all the students and teachers in an institute.

The formulation of the paper tends to offer an inimitable safety system for women safekeeping employing their smartphones respectively. In existing scenario, everyone is having their personalized Android based smartphones with integrated feature. Subsequently, it was decided to endow with the amenities pertaining to women safety, employing the prevalent entity. Presently, women are playing vibrant part in the society. Very few organizations are left functioning, where women are not allied in some capacity. Their contribution for the expansion towards the nation is just corresponding to men's contribution. But it could be effortlessly visualized that in the last few years, crime against women have intensified with leaps and bounds. The heinous acts have had detrimental effect on the society, especially on women. Women have been the source of inspiration always and its high time for the society to give its due where it belongs by developing adept applications and tools to aid women safekeeping. If anyone is not feeling safe, then they must not lose patience and panic but act sturdily to exude confidence. If feasible, the concerned women should immediately call someone for help, who could be receiving the call at an adjacent milieu. The proposed work is intended in such a manner that the same could be accomplished in merely few seconds. The foremost advantage of the work is that everything could be accessed through WhatsApp, in case of no balance condition. Secondly, the application would work as a social community, where registered people could also take action over the situation where victims are in misfortune. If victim’s guardian, relatives or whosoever obtains the notification for help are incapable to receive the same due to some emergency, the victim could release a new message in the group of registered people under the application, so that people who are nearby could securely take them out of peril. The application possesses other attractive features also along with the pioneering one.