Internship

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Student Projects
Novitech Internship

Transforming Students into Future Leaders: Igniting Knowledge, Inspiring Growth

NoviTech R&D Pvt Ltd is a technology company that specializes in providing innovative solutions for businesses across various industries and Educational Institutions. The business provides a wide range of services, such as software development, web and mobile application development, data analytics,cloud computing, Internet of Things, robotics, virtual reality, electric vehicles, and cyber security.

The GOAL of NoviTech is to equip businesses and students with cutting - edge technology that promotes efficiency and growth.

Empowering Students for Tomorrow's Challenges: Learn. Grow. Succeed

Why NoviTech ?
  • Skilled in software development services.
  • Get trained from senior developers.
  • Trained more than 10000+ students.
  • 100% Practical oriented guidance.
  • Industry exposure.
  • Power Packed Training Agenda.

MODULE 1:    Introduction to Blockchain

  • What is blockchain?
  • Uses of blockchain?
  • Blockchain applications?

MODULE 2:    Blockchain How it works?

  • Hashing Algorithm
  • Immutable ledger
  • Distributed P2P Networks

MODULE 3:   Blockchain Transactions

  • Transactions
  • Wallets
  • Public Key and Private key
  • Metamask Wallet

MODULE 4:   Smart Contract

  • Solidity code using remix
  • Smart Contract Deploy using Truffle
  • Smart contract Deploy Test net.
  • Smart Contract Interact with ethers
  • Smart Contract Connect to front end

MODULE 5:   Live Projects

  • Decentralized applications

MODULE 1:   python

  •  Introduction to Python
  • Python Data Types 
  • Installing Python

MODULE 2:   Machine Learning

  • What is Artificial Intelligence
  • Introduction to Machine Learning
  • Methods of Machine Learning
  • Introduction to Deep Learning
  • Comparison of ML and DL
  • Applications of DL

MODULE 3:   Basics to Creating a model

  • Module Files Installation
  • Data Preprocessing
  • Data Spliting
  • Algorithm Implementation
  • Model Creation
  • Model Prediction

MODULE 4:  Working on Basic Projects

  • Classification(Supervised Learning)
  • Regression (Supervised Learning)
  • Clustering(Unsupervised Learning)

MODULE 5:  Evaluation metrics in classification model

  • Accuracy
  • Precision
  • Recall
  • F1_Score

MODULE 1:   Introduction of IoT

  • What is IoT?
  • What is the difference between IoT devices and embedded devices?
  • How does IoT affect our everyday lives?

MODULE 2:  What is an Arduino?

  • How to write instructions or programs for Arduino boards?
  • What are Interrupts in Arduino?
  • Introduction about sensors?

MODULE 3:   About micro-processor& it's working.

  • What is a Raspberry Pi?
  • Difference between Arduino and Raspberry Pi?
  • About communication protocols?

MODULE 4:   What is a Sensor? How to interface with the controller?

  • Types of IoT Sensors
  • What are the applications of sensors in IoT?
  • How sensors and actuators work together in IoT?

MODULE 5:   Live projects

  • How is IoT data stored in cloud?
  • Which cloud storage is best for IoT?

MODULE 1:   Introduction About AR and VR

  • Introduction and Overview
  • How does AR and VR works?
  • Difference Between AR & VR?
  • Drawbacks of AR and VR?
  • Applications and Uses of AR and VR

MODULE 2: Getting Started with Unity3D

  • Interface and Components
  • Basics of App/Game Development
  • Working with 3D Models/Assets
  • Understanding concepts of Rigid Bodies/Colliders etc
  • Learning Interactions Using Buttons
  • Basic Animation

MODULE 3:   Augmented Reality App Development

  • Making Image Tracking Based AR App
  • Making Markerless AR App
  • Making Interactive 360 degree trackable AR App Using TechXR Developer Cube

MODULE 4: Virtual Reality App Development

  • Introduction to VR App Development for Smartphones
  • Making First VR App with 6 DoF Interaction
  • Introduction to Multiuser VR Environment - Experiencing Metaverse

MODULE 5:   Live projects

  • 3 AR Projects

1 VR Project

MODULE 1:   Introduction to RPA

  • Why RPA?
  • What is RPA?
  • RPA Tools
  • RPA Lifecycle

MODULE 2:   Introduction to UiPath

  • UiPath Studio
  • UiPath Installation
  • UiPath Studio Projects
  • UiPath Studio Ribbon Components
  • UiPath Studio Activity Pane Components
  • UIPath Studio Properties Pane
  • UiPath Studio Output Pane
  • UiPath RPA Architecture
  • UiPath Platform Components
  • UiPath Studio
  • UiPath Orchestrator
  • UiPath Architecture

MODULE 3:   UiPath

  • Variables, Data Types & Activities in UiPath
  • Types of Variables
  • Data Types
  • Activities
  • Message Box
  • Write CSV Activity
  • If Activity
  • For Each Activity
  • While Activity
  • Do While Activity
  • Switch Activity
  • Automations in UiPath

MODULE 4: Excel Automation

  • Why Excel Automation?
  • Installing Excel Activities in UiPath Studio
  • Demo; Automating the Filling of a Form
  • UiPath Selectors
  • What are Selectors?
  • Why do we need Selectors in UiPAth?
  • Demo: Selectors in UiPath

MODULE 5: Automation

  • UiPath Web Automation
  • UiPath PDF Automation
  • UiPath Email Automation

MODULE 1:   Introduction to full stack development

  • What is fronted?
  • What is backend?
  • What is database?

MODULE 2:   How website work?

  • Client-side processing
  • Server-Side Processing
  • Domain Names and DNS

MODULE 3:   How internet works?

  • Network Protocols
  • IP Addresses and DNS
  • Routing and Data Transmission

MODULE 4:   Web hosting

  • Introduction to Web Hosting
  • Domain name
  • hosting a website

MODULE 5:   Live projects

  • create an website

MODULE 1:   Introduction to electric vehicle

  • About EV
  • Need for EV
  • Evolution of EV
  • Infrastructure

MODULE 2:   Types of EVs

  • Battery Electric Vehicles (BEVs)
  • Plug-in Hybrid Electric Vehicles (PHEVs)
  • Hybrid Electric Vehicles (HEVs)
  • Fuel Cell Electric Vehicles (FCEVs)

MODULE 3:   Battery management

  • Fuels used in EVs
  • Battery
  • Active balancing
  • Passive balancing

MODULE 4:   Converters and controllers

  • About Power Electronic Converters
  • Types Of Converters
  • Control Methods
  • Auxiliary Systems

Module 5:   Simulations

  • Simulations on battery managements
  • Motor control methods
  • Closed loop control
  • Simulation with converters

Module 1:   Introduction to Python

  • Python installation
  • Introduction Python and Overview
  • Operator
  • Variable and Datatypes & Python Function
  • python oops
  • Exception handling

MODULE 2:   Image Processing

  • Introduction to Image Processing
  • Image Processing technologies
  • Types of Images / How Machines “See” Images

MODULE 3:   Image Processing Modules

  • Introduction to Module file
  • Image Preprocessing
  • Feature Selection
  • Feature Extraction

MODULE 4:   Algorithm for Feature selection & Extraction

  • Wavelet transform
  • Cosine Transform
  • Discrete wavelet transform
  • Gray level concurrence method

MODULE 5:   Hands on Project

  • Classification
  • Segmentation
  • Object Detection
  • Object Recognition