TwitterBot

A Java-based machine learning application designed to train an AI model capable of generating realistic tweets for a given account. This project uses Markov Chains, CSV file processing, and Java's BufferedReader to create a fast and efficient tweet generation system.

---

✨ Features

• 🤖 AI-Powered Tweet Generation
  Trains an AI model using Markov Chains to generate coherent and realistic tweets based on input data.

• ⚡ Fast Performance
  Generates ten custom 300-character tweets in under two seconds, ensuring quick results even with large datasets.

• 📂 User Input/Output Support
  Processes user-provided CSV files containing tweet data and outputs generated tweets in a user-friendly format.

---

🔧 Technical Details

• Markov Chains are used to model the probability of word sequences, enabling the generation of contextually relevant tweets.
• Java's BufferedReader ensures efficient reading of large CSV files for training the model.
• The system is highly scalable, allowing rapid processing of large datasets while maintaining accuracy and efficiency.

---

🗂️ File Descriptions

• FileLineIterator.java
  Implements an iterator for reading lines from a file, facilitating efficient CSV file parsing.

• ListNumberGenerator.java
  Provides a number generator based on predefined lists, aiding in testing and debugging the Markov Chain logic.

• MarkovChain.java
  The core implementation of the Markov Chain algorithm, responsible for training the AI model and generating tweet content.

• NumberGenerator.java
  Defines an interface for generating random numbers, supporting modularity in randomization logic.

• ProbabilityDistribution.java
  Models probability distributions for word transitions in the Markov Chain, ensuring realistic tweet generation.

• RandomNumberGenerator.java
  Implements a random number generator used to select words based on their probabilities in the Markov Chain.

• TweetParser.java
  Parses input CSV files containing tweet data and prepares it for training the Markov Chain model.

• TwitterBot.java
  The main class that integrates all components, trains the AI model, and generates tweets based on user input.

---

🛠️ How to Use

1. Clone this repository to your local machine:
   git clone https://github.com/muditm006/TwitterBot.git cd TwitterBot

2. Prepare a CSV file containing tweets from the desired Twitter account. Ensure that each line in the file represents one tweet.

3. Compile all .java files:
   javac *.java

4. Run the TwitterBot program with your CSV file as input:
   java TwitterBot path/to/your/tweets.csv

5. View the generated tweets in the console output. The program will generate ten custom tweets based on the input data.

6. Modify or extend functionality by editing any of the provided files as needed.

---

📝 Notes

• This project was completed in November/December 2024.
• It demonstrates efficient use of machine learning techniques and Java programming to solve real-world problems.
• The performance benchmarks were achieved on a modern machine; results may vary depending on your hardware.
• Ensure that your dataset is properly formatted before feeding it into the system for optimal results.