Full Stack with Java
Project
Internship Program
Duration – 15 Weeks
Project Training – Offline / Online – 5 WEEKS
Project Development – Offline/ Online – 10 WEEKS
PROGRAM HIGHLIGHTS:
- Provides hands-on training in Python programming and applied machine learning.
- Covers essential Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn.
- Exploring data cleaning, preprocessing, visualization, and exploratory data analysis (EDA).
- Deep insights on machine learning algorithms for regression, classification, and clustering.
- Emphasizes model evaluation techniques and performance optimization.
- Includes a guided capstone project using real-world datasets to apply end-to-end ML workflows
OUTCOMES:
- Ability to write clean, efficient, scalable Java code
- Proficiency in SQL, JDBC, and database operations
- Ability to build, test, and deploy REST APIs using Spring Boot
- Ability to develop dynamic front-end applications
- Capability to integrate full stack systems (frontend + backend + DB)
- Hands-on experience with Git, Postman, and deployment workflows
PROJECT EXAMPLES:
- Employee Management Full Stack System
- Online Course Registration Portal
- E-Commerce Application with Cart & Payments
- Hospital Appointment Management System
- Student Performance Tracking Dashboard
- Job Portal with Resume Upload & Filters
- Hotel Booking and Reservation System
- Inventory Tracking and Billing System
TOOLS AND RESOURCES:
- Programming: Java 8+, JavaScript
- Backend: Spring, Spring Boot, JDBC
- Frontend: HTML, CSS, JavaScript, React/Angular
- Database: MySQL / PostgreSQL
- Tools: Eclipse/IntelliJ, Postman, Git & GitHub
- Build Tools: Maven / Gradle
- Servers: Tomcat / Spring Boot Embedded Server
PROJECT DEVELOPMENT – 10 Weeks
Phase-1:
- Final Project Problem Definition
- Requirement Gathering & Use Case Design
- Database Schema Design
- Backend API Development (Spring Boot)
- Authentication & Authorization (JWT/Session)
- API Testing & Validation
Phase-2:
- Frontend UI/UX Development (React/Angular)
- API Integration with Backend
- Deployment (Local / Cloud)
- Code Review & Optimization
- Documentation & Report Preparation
- Final Presentation & Evaluation
