keshav memorial institute of technology

An Autonomous Institution - Accredited by NAAC with 'A' Grade
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** KMIT 2021-22 Batch : 2 students got selected for internship in Goldman Sachs with stipend of 75K per month (post pay package of 22.5LPA). **UGC Guidelines for Re-Opening the Universities and Colleges Post Lockdown due to COVID-19 Pandemic View PDF ** KMIT 2020-21 Batch Placements: 1 student got placed in Google with pay package of 31LPA **2 students got placed in Cisco with pay package of 14LPA **6 students got placed in Darwinbox with pay package of 8.4LPA

** COVID 19 ***Keep India at large safe***. The WHO lauded the Aarogya Setu mobile application for helping health departments to identify COVID-19 clusters . Kindly visit https://aarogyasetu.gov.in/ and install app https://www.mygov.in/aarogya-Setu-app/ ** KMIT 2020-21 Batch Placements: 9 students got selected in Amazon. Package: 30.5 LPA. Internship Stipend: 60000 per month. 3 students in ServiceNow. Package:21 LPA, Internship Stipend: 45000 per month.** 1 student got selected in Microsoft with a whopping salary package of 41.5 LPA. ** Very happy to share with you all that 12 students (as on 25th July, 2020) who were working as interns at Amazon got converted into FTEs. 100% conversions. ** Salary for SDE - 30 LPA (10 as SDEs) **Programmer Analyst - 12 LPA ( 2 as PA)** 1 student in Commvault with a salary package of 15 LPA. ** 4 students in Salesforce with a salary package of 12 LPA. ** 206 students from 2020 batch got selected in various companies with above 5 LPA. **

SONET

SONET stands for School Of New & Emerging Technologies. Under this programme the following courses are offered:

This course provides the concepts of various Images processing techniques for Biomedical Images, Machine Learning approach for Bio-Medical Images Processing followed by computational implementation of those techniques using Python Programming Language.

Lead faculty Assisting faculty
Dr.Devika Rubi Swetha Merugu
Awards or Achievements

70 Students trained

10 students got internship for BIRAC-Funded Project

The widespread popularity of digital cryptocurrencies has led the foundation of Blockchain, which is fundamentally a public digital ledger to share information in a trustworthy and secure way. The concept and applications of Blockchain have now spread from cryptocurrencies to various other domains, including business process management, smart contracts, IoT and so on. This course targets to cover both the conceptual as well as application aspects of Blockchain. This includes the fundamental design and architectural primitives of Blockchain, the system and the security aspects, along with various use cases from different application domains.

Lead faculty Assisting faculty
Sireesha Puppala Shanker Macha

** The training was conducted for 2nd and 3rd year students who were from CSE and IT departments.

S.No Semester Department Students Trained
1 2019- Sem1 CSE 36
2 2019- Sem1 IT 6
3 2019- Sem2 CSE 41
4 2019- Sem2 IT 9
Total 92
Total Certified 62

Ethical hacking is a subject that has become very important in the present-day context, and can help individuals and organizations to adopt safe practices and usage of their IT infrastructure. Starting from the basic topics like networking, network security and cryptography, the course covers various attacks and vulnerabilities and ways to secure them with hands-on demonstrations that will be helpful to students.

Lead faculty Assisting faculty
Srikanth Reddy A V Nagireddy

Front end web development, with server-side support, for implementing a multi-platform solution using HTML5, Bootstrap, NodeJs, Angular

Lead faculty
Pooja Godse & Sireesha Puppala

Objective-C is the best choice for developers who want to develop iOS and OS X apps. Get the tools needed, learn the structure of Objective-C, and get your first code up and running. Course walks you through the Foundation framework, a collection of prewritten code that makes the coding process easier; shows you how to design and build your own classes; and provides memory management techniques—the key to efficient programming. Plus, learn how to make your way around Xcode 11, the app to write, test, and debug Objective-C.

Lead faculty Assisting faculty
T Srikanth Reddy A V Nagireddy

This course focuses on the shared memory programming paradigm. It covers concepts & programming principles involved in developing scalable parallel applications. Assignments focus on writing scalable programs for multi-core architectures using OpenMP and C. This is an introductory course in shared memory parallel programming suitable for computer science as well as non-computer science students working on parallel/HPC applications and interested in parallel programming. The training was conducted for 52 2rd year students who were from CSE and IT departments and 30 got certified.

Lead faculty Assisting faculty
Pooja Godse Sudhakar

IoT is an Internet technology connecting devices, machines and tools to the internet by means of wireless technologies like bluetooth, wifi. Students get to work with various sensors and actuators and develop mobile applications using MIT app inventor and finally establish communication between the devices using Firebase cloud service.

Lead faculty
Fatima
Machine Learning

This course starts with advanced concepts of python like Numpy, Pandas, Matplotlib and forwarded to Machine learning algorithms such as Linear Regression for predictions, Classification with Logistic Regression. It also covers the advanced concepts Decision Trees, Random Forest and Support Vector Machines(SVM).

Lead faculty Assisting faculty
M Narsimlu & Ajeet Jain Swetha Merugu
Awards or Achievements

37 students got NPTEL certified

Machine Learning NPTEL

With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. This course introduces some of the basic concepts of machine learning from a mathematical motivated perspective and covers different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.

Lead faculty Assisting faculty
Balarama Murthy & Ajeet Jain Swetha Merugu
Awards or Achievements

> 97 % Passed the NPTEL exam

MEAN stack course is a collection of JavaScript based technologies used to develop web applications. MEAN is an acronym for MongoDB, ExpressJS, AngularJS and Node.

Lead faculty
T Srikanth Reddy & Sireesha Puppala

Python is one of the top 10 popular programming languages. It is a general purpose and high level programming language. Python is used for developing desktop GUI applications, websites and web applications. Python, as a high level programming language, allows you to focus on core functionality of the application by taking care of common programming tasks. The simple syntax rules of the programming language further makes it easier for you to keep the code base readable and application maintainable.

Lead faculty Assisting faculty
Pooja Godse & M Narsimlu Sudhakar

Python is one of the top 10 popular programming languages. It is a general purpose and high level programming language. Python is used for developing desktop GUI applications, websites and web applications. Python, as a high level programming language, allows you to focus on core functionality of the application by taking care of common programming tasks. The simple syntax rules of the programming language further makes it easier for you to keep the code base readable and application maintainable.

Lead faculty Assisting faculty
Pooja Godse & M Narsimlu Sudhakar

The world has become highly interconnected and hence more complex than ever before. We are surrounded by a multitude of networks in our daily life, for example, friendship networks, online social networks, world wide web, road networks etc. All these networks are today available online in the form of graphs which hold a whole lot of hidden information. They encompass surprising secrets which have been time and again revealed with the help of tools like graph theory, sociology, game theory etc. The study of these graphs and revelation of their properties with these tools have been termed as Social Network Analysis. The no. of students trained in this certification was 51.

Lead faculty Assisting faculty
Pooja Godse Sudhakar