RAKESH

Tech Enthusiast
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  • age
    22
  • address
    Mijar,Badagayedapadavu Post,Mangalore
  • email
    rakeshpoojary0044@gmail.com
  • phone
    8310727700

Programming

Python
C
C++
Java

Web Development

HTML
CSS
javascript
PHP

Databases

SQL

Soft Skills

Communication
Presentation
Leadership Qualities
Stratergic Planning

what I Know

Machine Learning

Done my internship in machine learning where I was learn't about different algorithms with real world projects.

Web Development

Know about the technolgies like html,css,javascript and also done projects in web development.

Cloud Technology

A beginner in cloud but did some certification courses in AWS and Azure. Have good knowledge of it.

Cyber Security

Have good knowledge in cyber security field, cirtified in introduction to cyber security by Great Learning

Workshops Attended

  • Android app development and Internet of things

    2nd nov 2018- 3rd nov 2018 Yenepoya Institute of Technology, Mangalore.

    Learned to develop simple applications using android studio and got knowledge about Internet of Things.

  • Presented technical paper

    4th june 2020 International Research Journal of Modernization In Engineering Technology and Science

    "EMOTION BASED INTELLIGENT MUSIC PLAYER". This project’s paper is a novel approach that helps the user to automatically play songs based on the emotion of the user.

  • Ethical Hacking Workshop

    30th march 2018 – 31st march 2018 IIT, Hyderabad

    I learned basic things related to ethical hacking such as SQL Injections, Fishing, Bypassing of the windows password, etc.Earned knowledge about a few hacking tools and their applications.

  • Entrepreneurship Awareness Camp

    28th march 2019- 30th march 2019 Yenepoya Institute of Technology Mangalore.

    Learned about leadership qualities as well as ability to plan and manage projects inorder to achieve objectives.

education

  • Bachelor of Engineering

    2016-2020 Yenepoya Institute of Technology, Managalore

  • Pre-university College

    2015-2016 St. Raymond’s Pre University College, Vamanjoor.

  • SSLC

    2013-2014 Swamy Vivekananda Higher School, Yedapadavu.

Projects

  • Employee Management System | DBMS Mini Project

    This project is a DBMS mini project. It aims to maintain information about employees of the company. Employee Management System is easy to handle, can lead to error-free, secure, reliable and faster management of employee records and admin can manage all employee details.

  • Super Market Billing System | FILE STRUCTURE Mini Project

    This project is a File Structure mini-project. It includes registration of users, storing the details into the system. This software has the facility to give a unique id for every item and admin can add the items to the collection so that user can buy items easily and system generates bill for user.

  • Bloodbank Management System | WEB TECHNOLOGY Mini Project

    The aim of “Bloodbank Management System” is to provide online bloodbank portal with user friendly interface. This is one of the online blood donation for needy peoples. Initially user can register himself by providing all the details like phoneno,name,address,blood group etc so that easily contacted by the hospital.

  • Blog Application | DJANGO Major Project

    In this project, I have build a blog application with Django that allows users to create, edit, and delete posts. The homepage will list all blog posts, and there will be a dedicated detail page for each individual post. Django is an open-source web framework, written in python.

  • Malaria Cell Detection System | MACHINE LEARNING Mini Project

    The proposed work is designed so as to be used in medical fields. The main objective of this work is to making contributions in the field of computer-aided detection of malaria parasites. To implement the machine learning in the various medical fields like detection, storing and other activities. The system will take image of blood cells and distinguish the cells into malaria infected and uninfected cells.

  • Emotion Based Intelligent Music Player | Major Project

    The emotion based intelligent music player is a system that helps to play the song automatically according to the emotion of the person. It recognizes the facial expression of the user and songs which are in directories will be played for the detected emotion. The feelings are recognized using convolutional neural network (CNN) model and also classification can be done using it. Feature extractor is also integral part of model which provide output for input facial expression. User defined feature engineering, and classifier is not needed as the CNN model is used.