Kumar satyajeet

Training/Education

Software Engineer

June 16, 2026 – Present

AgenticChatbot

June 15, 2026 – Present

Chatbot using agenticai

Crime-Type-Prediction

June 3, 2019 – June 3, 2019

Crimes are treacherous and common social problem faced worldwide. Crimes affect the quality of life, economic growth, and reputation of a nation. There has been an enormous increase in crime rate in the last few years. In order to reduce the crime rate, the law enforcements need to take the preventive measures. With the aim of securing the society from crimes, there is a need for advanced systems and new approaches for improving the crime analytics for protecting their communities. Accurate real-time crime predictions help to reduce the crime rate but remains challenging problem for the scientific community as crime occurrences depend on many complex factors. In this work, various visualizing techniques and machine learning algorithms are adopted for predicting the crime distribution over an area. In the first step, the raw datasets were processed and visualized based on the need. Afterwards, machine learning algorithms were used to extract the knowledge out of these large datasets and

Movies-Recommendation-Enginee

June 3, 2019 – June 3, 2019

Recommender offers generalized recommnendations to every user based on movie popularity and (sometimes) genre. The basic idea behind this recommender is that movies that are more popular and more critically acclaimed will have a higher probability of being liked by the average audience. This model does not give personalized recommendations based on the user. The implementation of this model is extremely trivial. All we have to do is sort our movies based on ratings and popularity and display the top movies of our list. As an added step, we can pass in a genre argument to get the top movies of a particular genre.

IPL-match-divination

June 3, 2019 – June 3, 2019

Predicting winning team,Currently, with eight teams, each team plays each other twice in a home-and-away round-robin format in the league phase. At the conclusion of the league stage, the top four teams will qualify for the playoffs. The top two teams from the league phase will play against each other in the first Qualifying match, with the winner going straight to the IPL final and the loser getting another chance to qualify for the IPL final by playing the second Qualifying match. Meanwhile, the third and fourth place teams from league phase play against each other in an eliminator match and the winner from that match will play the loser from the first Qualifying match. The winner of the second Qualifying match will move onto the final to play the winner of the first Qualifying match in the IPL Final match, where the winner will be crowned the Indian Premier League champions.

Obvision

June 3, 2019 – June 3, 2019

Online photo sharing sites and social networks have them in the billions. The field of vision research has been dominated by machine learning and statistics. Images and videos are used to detect, classify, and track objects or events in order to” understand” a real-world scene. Programming a computer and designing algorithms for understanding what is in these images is the field of computer vision. Computer vision powers applications like image search, robot navigation, medical image analysis, photo management and many more. From a computer vision point of view, the image is a scene consisting of objects of interest and a background represented by everything else in the image. The relations and interactions among these objects are the key factors for scene understanding. Object recognition identifies the object class in the training database, to which the object belongs to. Object detection determines the presence of an object and/or its scope, and locations in the image. It can be tre

Face_recogination

June 3, 2019 – June 3, 2019

A facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiple methods in which facial recognition systems work, but in general, they work by comparing selected facial features from given image with faces within a database. It is also described as a Biometric Artificial Intelligence based application that can uniquely identify a person by analysing patterns based on the person's facial textures and shape

Predict-Sales-Data-

June 3, 2019 – June 3, 2019

The task is to forecast the "Sales" column for the test set using linear regression. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. With thousands of individual managers predicting sales based on their unique circumstances, the accuracy of results can be quite varied. Reliable sales forecasts enable store managers to create effective staff schedules that increase productivity and motivation.

Predict-Sales-Data-with-Linear-Regression

June 3, 2019 – June 3, 2019

The task is to forecast the "Sales" column for the test set using linear regression. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. With thousands of individual managers predicting sales based on their unique circumstances, the accuracy of results can be quite varied. Reliable sales forecasts enable store managers to create effective staff schedules that increase productivity and motivation.

Graph-Based-Recommendation-System-for-Online-Retail-Stores

June 3, 2019 – June 3, 2019

Recommendation system is a subclass of information filtering system that seeks to predict rating or preferences a user would give to an item. They help a user/customer to make easy decision choices and prefer what would suit best for them. Henceforth, it saves the customer’s time and gives the customer value for money products to be taken into consideration. In this project our main, aim is to recommend a retail store customer to recommend the next best suited product when he/she puts first product in their basket. The study is conducted on “Online Retail Store Dataset” collected from UCI repository. The data was collected for a UK based retail store from 01/12/2010 and 09/12/2011. The recommendation system developed for this particular dataset will use graph-based properties to give best product recommendation to the customer. Moreover, we have also used Louvain algorithm to detect communities of the customers who buy products of the similar kind.

Shopping-Assistance-for-Visually-Impaired-People

June 3, 2019 – June 3, 2019

Recognition of grocery products in store shelves poses peculiar challenges. Firstly, the task mandates the recognition of an extremely high number of different items, in the order of several thousand for medium-small shops, with many of them featuring small inter and intra class variability. Then, available product databases usually include just one or a few studio-quality images per product (referred to herein as reference images), whilst at test time recognition is performed on pictures displaying a portion of a shelf containing several products and taken in the store by cheap cameras (referred to as query images). Moreover, as the items on sale in a store as well as their appearance change frequently over time, a practical recognition system should handle seamlessly new products/packages. Inspired by recent advances in object detection and image retrieval, we propose to leverage on state-of-the-art image classification based on deep learning. In the study conducted our objective is