Hello, Iam Mahesh Kumar Kottakota,a student majoring in Computer Science Engineering.I am an undergraduate student, currently pursuing my B.Tech.I am a mature team worker and adaptable to all challenging situations.
I'm good at C, C++, JAVA, Python, JavaScript and MERN stack and I am Looking for new opportunities to work and contribute to new projects.
My Hobbies are Coding, Playing Cricket, Watching Movies and Travelling.
I am an undergraduate student, currently pursuing my B.Tech. I am an enthusiastic, self-motivated and dedicated person. I am a mature team worker and adaptable to all challenging situations. I am able to work well in both the team environment as well as on my own.
Computer Science and Engineering
CGPA: 9.57/10
Percentage: 97.5%
CGPA: 10/10
Made a Multi class Network Intrusion Detection System to know if our website is been attacked with some Attack Classes (DOS, U2R, R2L, PROBE) or it is Normal using NSL-KDD data set . I used Machine learning concepts of python and MERN stack to make this
This is a Web Application that Monitors and Provides the Rank ,Price etc details of the particular Crypto
Currency and graphical Statistics with a user friendly interface. Builded using the Concepts of React-JS with proper Authentication.
Also included a Wishlist features which can store your Needed Coins using the concepts of Database
Website URL : Click here
ML based Web Application that aims to detect the presence of late blight or early blight on potato leaves, which are the primary causes of crop damage. Additionally, the system recommends appropriate precautions and pesticides to help farmers eliminate the blight and protect their crops and increasing their yields. Done using AiML concepts, React JS and Firebase
This a Web App that includes both User Interface and Owner Interface which provides a platform for managing orders and deliveries. Here, Firebase serves as the primary backend infrastructure, handling user authentication and database management. AWS Webpacks enable seamless communication between different components. The system is equipped with face recognition algorithms to compare customer faces during delivery, ensuring secure and accurate package distribution.
RESTAURANT-SEARCH MOBILE APP ,MEDI-MATE APP, WIT-AI BOT , SMART-SCHEDULER , COVID 19 ANALYSIS, ATM, FIRE ALARM, SCIENTIFIC CALCULATOR, ROCK PAPER SCISSORS, TIC TAC TOE, CONTACT BOOK etc
click here to get all my projects on my GitHub
Indira Nagar, Sitaphalmandi, Hyderabad, Telangana, India.
PIN code:500061
maheshkumarkottakota@gmail.com
+91-8106842412