Master Tech in 90-Day Project Based Training

Project Based Training on App & Web Development!

Code with Java , Python & MERN Stack Web Development, guided by Industry Experts.

Join our 90-Day Project Based Training Program and gain hands-on experience to elevate your skills and career!

Experts with 6+ Years of Experience

Learn App & Web Development with Hands-On Training

Master Java , Python & MERN Stack Web Development in just 90 days!
Enroll - Learn & Build - Get Certified
₹7999 Pay now and gain expertise that sets you
apart in the tech industry.

Training Features

Anyone

IT/Non IT

4.9+

Course Rating

Java,Python Web Apps

5 Apps that are fully customisable for you

MERN Web Apps

5 Web Apps that are fully customisable for you

1 Time

Payment

90 days

Online/Offline Classes

Language

English & Hindi

Guidance

Industry Expert Mentors

5 MERN Stack Projects – Customisable & AI Powered for a Unique Build!

TODO Web App with Basic CRUD
TODO Web App with Basic CRUD

Java,Python
MERN
Dataset
CRUD
 
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AI Chat Bot App with gemini API
All in One Prsonal Portfilio Website

Java,Python
MERN
Dataset
Advanced UI
 
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Quiz App
AI Chat Bot Web App with gemini

Java,Python
MERN
Dataset
Gemini
AI
Artificial intelligence
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Face Detection with ML
AI Image Generator

Java,Python
MERN
Dataset
IMAGE library
AI
Artificial intelligence
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Expense Tracker App
Social Media Website with Firebase

Java,Python
MERN
Dataset
Firbase
 
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5 JAVA Stack Projects – Customisable & AI Powered for a Unique Build!

TODO Web App with Basic CRUD
Smart Shopping(E-Commerce)

Java,Python
Java
Dataset
CRUD
 
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AI Chat Bot App with gemini API
AI Image Generator

Java,Python
JAVA
Dataset
Advanced UI
 
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Quiz App
Smart Email-Writer Using Spring AI

Java,Python
JAVA
Dataset
Gemini
AI
Artificial intelligence
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Face Detection with ML
Audio to text Generator

Java,Python
JAVA
AI
Artificial intelligence
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Expense Tracker App
Smart Student Management System

Java,Python
JAVA
Dataset
Advanced UI
 
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5 Python Projects – Customisable & AI Powered for a Unique Build!

Medical Imaging
Medical Imaging with Python

Python
Python
OpenCV
OpenCV
 
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Coding Review
Online Coding Review & Feedback

Python
Python
OpenCV
OpenCV
 
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AI Traffic
AI Traffic Management & Driver Alert

Python
Python
OpenCV
OpenCV
 
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Resume Scanner
Online Resume Scanner

Python
Python
OpenCV
OpenCV
 
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E-commerce Website
E-commerce Website

Python
Python
OpenCV
OpenCV
 
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How to Join
Our Training Program

Enroll By Paying

₹7999

1

Complete Courses

within 90 Days

2

Build 1 Unique Project

With Our Assistance

3

Internship Curriculum

3

Technologies

90 Days

Duration

Resume Building

Extra Bonus!

  • Overview of full-stack architecture (React + Spring Boot + MySQL).
  • Project goal: build a responsive e-commerce app with CRUD, search, filter, cart & theming.

  • Frontend setup with React + Tailwind CSS.
  • Backend setup with Spring Boot (Maven build).
  • Database configuration (MySQL + JPA).

  • Create tables: products, categories, users, cart.
  • Map relations using JPA (@OneToMany, @ManyToOne).
  • Add dummy data.

  • Backend: CRUD APIs for products.
  • Frontend: Display product list using cards.
  • Integrate with backend using Axios or Fetch.

  • Add form for new products (name, price, category, image).
  • Validate inputs & send data to backend.
  • Update product list dynamically.

  • Fetch & display product categories.
  • Implement category-wise filtering.
  • Add search bar for keyword-based search.

  • Add to Cart & Remove from Cart functionality.
  • Display selected products in Cart page.
  • Calculate total price & quantity.

  • Add Light/Dark mode using React Context & Tailwind’s dark mode.
  • Store theme preference in localStorage.

  • Backend: Add validations with annotations.
  • Frontend: Handle form errors & show toast notifications.

An AI image generator uses machine learning models to create images based on textual descriptions or other input data.

The MERN stack consists of MongoDB (database), Express (backend framework), React (frontend framework), and Node.js (runtime environment).

The folder structure includes separate directories for backend (server), frontend (client), and shared components like utilities or assets.

Use npm to install dependencies like Express for the backend, and React along with MUI for the frontend.

Initialize a Git repository and commit your project to maintain version control and collaborate efficiently.

Set up Node.js and Express to create the backend API that communicates with MongoDB to store and retrieve data.

Obtain credentials for Unsplash API and Cloudinary, and securely store MongoDB credentials to access the services.

Implement API endpoints to interact with the image sources (Unsplash and Cloudinary), allowing image fetch and storage operations.

Use React for the frontend to display the images fetched/generated from the backend.

Set up the React project with MUI for styling and custom components to create a user-friendly interface.

Integrate the React frontend with the backend API to display the fetched or generated images.

Deploy the MERN application on a hosting platform like Heroku or Vercel, ensuring the backend and frontend work seamlessly.

Overview of Medical Imaging and its real-world applications.
Understanding the scope of the project.
Technologies used: Python, Django, OpenCV, NumPy, Matplotlib, Pydicom.

Installing Python and required libraries.
Creating Django project & app structure.
Understanding Django MVC (MVT) architecture.
Static & media file configuration.

Introduction to medical image formats: DICOM, TIFF, JPG/PNG.
Difference between medical images and normal images.
Understanding pixel intensity and image resolution.

Uploading images using Django forms.
Handling local file uploads and URL-based uploads.
Secure file storage and validation.
Media management in Django.

Reading images using OpenCV and PIL.
Displaying images in Django templates.
Converting images to grayscale.
Handling image resizing and normalization.

Understanding DICOM file structure.
Reading DICOM files using pydicom.
Extracting metadata from DICOM images.
Displaying DICOM slices (2D visualization).

Understanding histograms in medical imaging.
Generating grayscale and RGB histograms.
Image smoothing, sharpening, contrast enhancement.
Histogram equalization and its medical importance.

Reading multiple DICOM slices.
Creating 3D volume data.
Slice navigation and volumetric rendering.
STL files and 3D anatomical visualization.

Introduction to medical AI and CNNs.
MRI preprocessing.
Loading trained CNN models.
Brain tumor classification and highlighting affected tissues.

User registration and authentication.
Role-based access (Admin/Patient).
Secure access to uploaded medical images.
File validations and exception handling.

Efficient image loading.
Memory management for large datasets.
Optimizing workflows and caching repeated analysis.

User dashboard design.
Displaying analysis results visually.
Generating reports (PDF/Image-based) with download & sharing options.

Preparing project for deployment.
Hosting Django application.
Media file handling in production.
Debug vs production settings.

NumPy array operations.
Image matrix manipulation.
Looping and filtering image data.
Modular and reusable code structure.

Testing image uploads and verifying processing accuracy.
Debugging common Django & OpenCV errors.
Performance testing with large datasets.
Complete project walkthrough and future scope in hospitals & research.

Certify your Learning

Complete the course with assignments, and request your
course completion certificate

Instant Doubt Solving

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Doubts Solved in 5-10 min

Ask your doubts when you want, and get it solved within 5-10 minutes.

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Experience 1 to 1 learning

With robust Mentor Support, experience seamless learning with personal mentorship.

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Resume Building with

Training Assistance

in One Place

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  • Editable Resume Icon Professional Editable Resume
  • Download Export Icon Easy Export: Download and Share
  • Job Opportunities Icon Job Opportunities
  • Career Support Icon Career Support

Why choose us?

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1. Structured Online Classes

Experience 45 days of live online classes by industry experts, focused on practical learning and in-depth training for real-world skills.


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2. Real-World Projects

Python: AI Traffic Management & Driver Alert
Java : Smart Email-Writer Using Spring AI
MERN: Chat Bot with AI & Q&A System with ML.


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3. Expert Mentor Support

Personal mentors to guide and help you throughout your journey as a friend through chat, calls & screen sharing.


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4. Projects & Certifications

Build major projects which make your resume stand apart along with course completion certifications.


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5. Internship Opportunity

Get remote internship opportunities after the completion of the course along with dedicated assignments.


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6. Career-Focused Curriculum

Master skills and technologies tailored to industry demands, ensuring you're job-ready with expertise in web development.


WHERE WE’VE BEEN

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The big names of Uttar Pradesh
Know Us

We’re Available at Two Locations

Company Front
HINDTECH IT SOLUTIONS

Building No 10/703, Ground Floor,
near Arvindo Park Road, Sector 10
Indira Nagar, Lucknow, Uttar Pradesh
226016

Company Front
HINDTECH IT SOLUTIONS

PARMAR PLAZA, First Floor,
Bakshi Ka Talab, Bargadi Magath,
Uttar Pradesh 226201

Video Reviews from
Our Students!

Testimonials

Our Certificates Recognitions

HLP offers a diverse range of comprehensive courses in Laravel, MERN stack, and Java,Python, catering to both beginners and advanced learners. These courses are designed to provide in-depth knowledge and practical skills for building web and mobile applications. The Laravel course focuses on backend development with PHP, while the MERN stack course covers full-stack development using MongoDB, Express.js, React.js, and Node.js. The Java,Python course empowers students to create cross-platform mobile applications with a single codebase.
Additionally, we offers special summer programs and apprenticeships with detailed syllabuses and module-wise, project-based development. These programs emphasize hands-on learning, preparing students for real-world challenges and enhancing their employability in the fast-evolving tech industry.

Project-based development is a hands-on learning approach where individuals or teams work on real-world projects to apply and enhance their skills. Instead of focusing solely on theoretical concepts, this method emphasizes practical experience by having participants solve real challenges, develop solutions, and create functional applications or systems. This approach not only builds technical expertise but also strengthens problem-solving and critical thinking abilities.
At HLP, project-based development is at the core of our teaching philosophy. Our syllabuses are carefully designed to focus on real-world project development, ensuring that students gain practical, industry-relevant skills. Each module incorporates projects that allow learners to apply what they've learned, preparing them for success in the fast-paced tech industry.

To apply for the scholarship, you will need to participate in our webinar program. During the webinar, we will share the scholarship application link with attendees who pass the associated exam. The top 10 performers in the exam will receive a full scholarship, while the top 25 will be awarded a discounted fee. Additionally, all other participants will be eligible for special discounts provided by HLP. Our main goal is to support as many students as possible, and this initiative is designed to help more individuals access quality education.

HLP has a strong placement record, with over 90% of our students successfully securing positions in top tech companies. Our dedicated placement assistance ensures that students receive the support they need to find job opportunities in their chosen fields. Many of our graduates have been placed in well-known organizations, taking up roles in Laravel, MERN stack, and Java,Python development. We focus on equipping students with industry-relevant skills through hands-on, project-based learning, which enhances their employability. Our goal is to ensure that every student is career-ready and able to thrive in the fast-evolving tech industry.

At HLP, students receive multiple 1:1 expert sessions and mock interviews as part of our comprehensive career support. Each student is guaranteed at least 3 personalized expert sessions, where industry professionals guide them through real-world challenges, provide feedback on their projects, and offer career advice tailored to their goals. These sessions are scheduled based on student availability, ensuring flexibility for working professionals as well.

We also conduct mock interviews before actual job interviews to help students gain confidence and improve their communication and problem-solving skills. These mock interviews simulate real interview environments, giving students valuable practice and feedback. Our goal is to prepare both students and professionals for success in the competitive job market.
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