anweshachakraborty17 Goto Github PK

2d-illustrations-apsolutio-internship

Graphic Designing using Adobe Illustrator cc 2019

anwesha-chakraborty

automatic-anti-collision-system

Detecting obstacles for the automobile industry is one of the emerging technologies nowadays. An Automatic Anti-Collision System is an automobile safety system that prevents collision among cars and objects automatically. In this paper, I have implemented a prototype of my designed microcontroller based automated can anti-collision system. This system specializes in detecting obstacles by sharp distance sensor and alerts within close distance of collision and hereafter brakes automatically by an actuator in critical distance without the help of a driving person. If somehow driver fails to avoid the collision, this system will automatically stop the vehicle as it monitors the condition of the vehicle continuously. So it is a user friendly and versatile system which can prevent road accidents, reduce the rate of accidents as well as the accidental death of human life. It can be used in any kind of automobile vehicle as it is a cost-effective system.

book-finder_javascript

A Book finding or searching web-application using HTML, CSS, JavaScript, Bootstrap and Most importantly REACT js for Font-End.

crime-data-analysis-using-data-mining

AIR Crime Analyzer is a Crime Data Analysis Project using Data Mining Technics. Crime analyses is one among the important application of knowledge mining. Crime Analyzer is a law enforcement function that involves systematic analysis for identifying and analyzing patterns and trends in crime and disorder. Data processing contains many tasks and techniques including Classification, Association, Clustering, Prediction each of them has its own importance and applications It can help the analysts to spot crimes faster and help to form faster decisions. The main objective of crime analysis is to seek out the meaningful information from great deal of knowledge and disseminates this information to officers and investigators within the field to help in their efforts to apprehend criminals and suppress criminal activity. In this project, K-means Clustering is employed for crime data analysis.

dbms_lab_assignment

STCET_DBMS LAB work under COVID-19 Lock-down Activity

demoapp

Demo Springboot and Angular Application

digital-image-processing

durbin-book-finder

A Book Finding or Searching Web Application, developing its Fontend using REACT js along with Google Books API.

html5

HTML 5 Zero to Hero Complete Programming Practice Notes

iris-recognition-using-matlab

Iris recognition is a reliable and accurate biometric identification system for user authentication. It is used for capturing an image of an individual’s eye. The performance of iris recognition systems is measured using segmentation. Segmentation is used to localize the correct iris region in the particular portion of an eye and it should be done accurately and correctly for removing the eyelids, eyelashes, reflection, and pupil noises present in the iris region. In our paper, we are using Daughman’s Algorithm segmentation method for Iris Recognition.

java-programming

Problem Solving Using OOP based JAVA Programming

jpmorgan-chase-co.-internship

Worked as a Software Engineer Virtual Intern from April 2020 to July 2020. It's a virtual work experience program provided by Insidesherpa.

kpmg-virtual-internship

machine-learning-and-data-science-workshop-

problem-solving-using-cpp

Practiced C++ Problems with Answer ( FACE 360 Training ).

problem-solving-using-cpp-part-2

Practiced C++ Problems with Answer (FACE C++ Training)

py4e

Web site for www.py4e.com and source to the Python 3.0 textbook

python_bootcamp

Complete Python Programming Bootcamp 2020

real-time-object-detection-using-tensorflow

Object detection is a computer vision technique in which a software system can detect, locate, and trace the object from a given image or video. The special attribute about object detection is that it identifies the class of object (person, table, chair, etc.) and their location-specific coordinates in the given image. Tensorflow is an open-source library for numerical computation and large-scale machine learning that ease Google Brain TensorFlow, the process of acquiring data, training models, serving predictions, and refining future results. Tensorflow bundles together Machine Learning and Deep Learning models and algorithms and it allow developers to create a graph of computations to perform. Each node in the graph represents a mathematical operation and each connection represents data. Hence, instead of dealing with low-details like figuring out proper ways to hitch the output of one function to the input of another, the developer can focus on the overall logic of the application. Creating accurate Machine Learning Models that are capable of identifying and localizing multiple objects in a single image remained a core challenge in computer vision. But, with recent advancements in Deep Learning, Object Detection applications are easier to develop than ever before. TensorFlow’s Object Detection API is an open-source framework built on top of TensorFlow that makes it easy to construct, train, and deploy object detection models.

sql_database

student-performence-tracker-designl

Student Performance Tracker is a web-based application developed using HTML, CSS, JavaScript, PHP and MySQL Database. This application provides an easy way to student in searching the details of their academic attendance and marks percentage details the with graph and meritlist. Students can search their academic performance and details of student’s attendance and marks percentages are added by admin.

tic-tac-toe-game-using-jquery

This is a single-player Tic Tac Toe game panel. In this game, the user will play with the computer. It is designed with simple logic to make the player win easily against the computer.