Voice Command Recognition System for Smart Home

• 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

• 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.

Organized and managed IT competitions for developers under 18, handling all aspects of planning, logistics, promotion, and technical support.

Ensured seamless event execution, fostering high participant engagement and satisfaction.

Provided prompt technical support, ensuring a fair competition environment.