Voice Command Recognition System for Smart Home 02/2024 – 06/2024

• Managed data processing by analyzing and preparing voice datasets, ensuring data quality.
• Identified and addressed key challenges in voice recognition through detailed analysis.
• Led a team in creating and submitting a comprehensive project report.
• Achieved 80% accuracy in recognizing voice commands for smart home automation by developing and fine-tuning a neural network model.

Unblur System for Images 02/2023 – 05/2023

• Developed a CNN model to enhance the clarity of grey images, achieving approximately 83% accuracy.
• Implemented robust data augmentation techniques to improve model performance.
• Conducted extensive testing and validation to ensure the reliability of the model.
• Secured 15th place out of around 200 student projects, demonstrating significant impact and quality.