Developed a deep learning-based system to automate vehicle damage assessment. Utilized CNN-based architectures for accurate detection and classification of damages, streamlining insurance claims and rental service evaluations.
Analyzed linguistic and acoustic features to differentiate healthy and at-risk individuals. Leveraged NLP and deep learning techniques for dementia detection, aiming to improve model accuracy and prepare a research paper for publication.
Developed a deep learning model using CNN architecture for fire and smoke detection. Implemented both Sequential and Functional APIs for improved classification accuracy, enhancing fire detection capabilities using real-world images.
Processed and analyzed video game sales data using MongoDB and Hadoop. Designed efficient queries in MongoDB to extract insights on regional and yearly sales trends, leveraging Hive and Pig to aggregate and visualize sales performance.
Collected and analyzed customer feedback using web scraping techniques. Applied machine learning techniques to classify sentiments and predict customer behavior, deriving actionable insights to improve the customer experience.
Designed and implemented a full-stack ISP management system with features such as customer registration, billing, data tracking, and user dashboards. Integrated SQL Server for backend database management.