Java Programming Projects for Students

      Java Programming Projects for Students provides latest collection of projects for CSE, IT, EEE, ECE students. Our new and experienced project makers are come up with innovative ideas which making our students as a globally appreciated and accepted experts. We offer Java Programming Projects for Students on latest technologies like: networking (e.g. packet sniffer), web application (e.g. online feedback system), IoT (e.g. Arduino/Raspberry Pi), management (scheduling, task management, time table, etc.). For every student projects, we deliver full project source code, project documentation, project report, PPT presentation and step-by-step explanation by our project experts. Every day, we do something innovative for our students that will make us happier. If you have any queries, contact through mail or phone.

Java Programming Projects for Students

    Java Programming Projects for Students is created to work for students (UG/PG) and research scholars (PhD/MS). Java programming is a big world that supports wide range of features.  It allows developers to work on own applications. From the research, Java can runs on 3 billion devices worldwide. Our top experts have 10+ years of experience on Java Programming so we can develop any kind of applications. If you really want to impress your internal and external guide, develop some real-time projects. We have done nearly 1000+ Real-Time Java Programming Projects for Students. We additionally support journal paper writing work, PhD research work, paper publication work, etc. Please don’t hesitate to contact us. We are ready to provide project in any applications domains: Semantic Web, Social Computing, Linked Data, Big Data, Information Systems, Web Services, etc.

Let’s see about Real-Time Java Programming Ideas,

Web Services:

Web service technology

  • Web service architecture
  • Data structures and models
  • Security, workflow, process management
  • Wireless and mobile
  • Service management

Semantic Web

  • Semantic web mining
  • Semantic interoperability
  • Machine learning approaches
  • E-learning and e-business in semantic web
  • Knowledge management and extraction
  • Web service discovery
  • Semantic interoperability
  • Semantic web privacy, trust, security
  • Ontology creation, mediation, reconciliation

Big Data

  • Natural language processing
  • Data quality enhancement
  • Big data environments and frameworks
  • Web search technologies
  • Big data stream and grid computing
  • Computations and storage resources over cloud
  • Graph based algorithms for Big data
  • Big data processing (acquisition, reduction and integration)

Real-World Applications using Java:

  • Android apps development (using Google’s Android API)
  • Financial services which is run by server apps (using Java Swing)
  • Web Applications (using Struts 2.0 and Spring MVC)
  • Software tools development (using Eclipse IDE and Swing)
  • Trading applications (e.g. Murex)
  • J2ME applications (e.g. Samsung and Nokia headsets)
  • Embedded space (using embedded devices)
  • Big data technologies (e.g. Apache’s HBase, Accumulo, Elastic Search)
  • High frequency trading space (using Java and C++)
  • Scientific applications (e.g. final service applications)

Latest Topics on Java Programming Projects for Students:

  • An effective mechanism for Application of educational Big Data on analysis of students’ online learning behaviour
  • An effective mechanism for analysis efficient taxi operation strategies from large scale geo-location data
  • An efficient mechanism for Scholarly Big Data by Making Sense of Scientific Literature
  • On the use of data mining and machine learning techniques for system design space exploration and automatized optimization
  • On the use of IoT technology to improve online education through data mining
  • An effective mechanism for Mining causes of network events in log data with causal

/*Sample Java code using Word Count using Map Reduce */

import java.util.*;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.conf.*;
import org.apache.hadoop.mapreduce.*;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
public class WordCount {
public static class Map extends Mapper<LongWritable, Text, Text, IntWritable> {
private final static IntWritable one = new IntWritable(1);
private Text word = new Text();
public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
String line = value.toString();
StringTokenizer tokenizer = new StringTokenizer(line);
while (tokenizer.hasMoreTokens()) {
context.write(word, one);
public static class Reduce extends Reducer<Text, IntWritable, Text, IntWritable> {
public void reduce(Text key, Iterable<IntWritable> values, Context context)
throws IOException, InterruptedException {
int sum = 0;
for (IntWritable val : values) {
sum += val.get();
context.write(key, new IntWritable(sum));
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
Job job = new Job(conf, “wordcount”);
String inputdatapath=”/home/code/hadoop/hdfs/dataset/”
String outputdatapath=”/home/code/hadoop/hdfs/output/”
FileInputFormat.addInputPath(job, new Path(inputdatapath));
FileOutputFormat.setOutputPath(job, new Path(outputdatapath));