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VR Sandbox for Vision Crafting & Choice Experimentation
An immersive virtual reality environment designed to simulate real-world decision-making scenarios. Users interact with dynamic environments where choices trigger realistic consequences, enabling experiential learning and behavioral observation. Features customizable modules, real-time feedback, and AI-driven data capture for training, research, and psychological analysis.
VRAISimulation
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Machine Learning Based Intrusion Detection System
Built an end-to-end IDS that captures network packets, extracts traffic features, and applies machine learning models to detect malicious and anomalous activity. Implemented data preprocessing, model training, and performance evaluation to improve detection accuracy and reduce false positives.
Machine LearningCybersecurityIDS
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Enhanced Feature Selection Techniques for Machine Learning
As part of the machine learning pipeline, a custom feature selection framework was developed to enhance model accuracy, reduce overfitting, and optimize training time. The framework evaluated multiple feature selection techniques including mutual information, recursive feature elimination (RFE), and correlation-based filters to identify the most predictive variables across datasets like resume_data.csv, job_train.csv, and labor market statistics.
Machine LearningFeature SelectionData Science
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AI and VR Based Framework for Emotional Harmony
The project successfully developed an intelligent mood enhancement system that leverages real-time physiological data such as heart rate, galvanic skin response, and motion metrics collected via wearable devices to assess emotional states and dynamically deliver personalized virtual reality environments.
AIVRWearables
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Resume-Based Career Mapping System
The project resulted in the successful development of an intelligent system that analyzes resumes to extract skills, experience, and education, and then matches users to the most suitable job roles in real time. The system dynamically generates personalized career paths by identifying skill gaps and recommending targeted learning resources and projects from curated course databases.
Resume AnalysisCareer MappingRecommendation System
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Microplastic Concentration Analysis Using Machine Learning
Analyzed environmental and geospatial datasets to study microplastic concentration in Indian water bodies. Performed data preprocessing and feature engineering, and applied machine learning models to identify pollution patterns and high-risk regions through spatial analysis.
Machine LearningGeospatial AnalysisEnvironmental Data
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