Fake Job Posting Detection using NLP

• Developed a machine learning model to detect fraudulent job postings using NLP techniques.
• Performed text preprocessing and applied TF-IDF vectorization for feature extraction.
• Trained a Logistic Regression classifier and evaluated using accuracy, precision, recall, F1-score, and confusion matrix.
• Handled class imbalance using Random Oversampling to improve fake job detection performance.

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Data Leakage Impact Study in Machine Learning

• Designed a controlled experiment comparing a proper ML pipeline with an intentionally leaky pipeline.
• Implemented correct train–validation–test splitting using Scikit-learn to establish a reliable baseline.
• Simulated real-world data leakage scenarios (preprocessing before split, target-correlated features).
• Analyzed performance inflation to demonstrate risks of unreliable model evaluation in production systems.

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IoT-Based Home Automation System

• Built a smart home automation system using ESP8266 NodeMCU to control appliances via Wi-Fi.
• Developed a mobile app using Kodular Creator for remote ON/OFF control.
• Integrated ThingSpeak for real-time monitoring and cloud-based data communication.
• Designed a simple, low-cost circuit using relay modules for controlling lights and devices.
• Demonstrates practical implementation of IoT, cloud connectivity, and embedded systems

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