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Bug Tracking System | SQL, MySQL, DBMS, Data Analysis
- Developed a comprehensive Bug Tracking System to enhance the software development process.
- Enabled developers to identify, document, and resolve software bugs seamlessly.
- Utilized SQL, MySQL, and DBMS for database management and operations.
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Parkinson Disease Detection | Machine Learning
- Developed a machine learning model to detect Parkinson’s disease based on biomedical voice measurements.
- Utilized the Support Vector Machine (SVM) algorithm for effective detection and classification.
- Implemented Python with scikit-learn for model development and evaluation.
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Text Emotion Analysis for Text2Video Generation | NLP, Machine Learning, AI
- Conducted research in text emotion analysis using NLP and machine learning (ML) algorithms.
- Developed and trained AI models for accurate emotion detection, enhancing Text2Video generation.
- Integrated big data analytics and emotion analysis into video generation pipelines, collaborating with international teams.
- Utilized data science methodologies and presented project outcomes to supervisors and industry experts.
