Predicting Player Next Moves

Machine learning player prediction project
Competitive machine learning project predicting player moves in a game

Participated in a competitive machine learning challenge to predict the next moves of players in a game. Applied classification and predictive modeling techniques using historical player data. Optimized model performance and evaluated predictions with real gameplay datasets.

Technologies: Python, Scikit-learn, Pandas, NumPy, Data Visualization

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Spheris 24/7 System analysis and design

Spheris 24/7 System analysis and design
An all-in-one productivity platform designed to help users plan, organize, and track their goals effectively.

In today’s fast-paced world, managing multiple responsibilities and staying focused on long-term goals can be overwhelming. Spheris 24/7 provides a centralized solution that simplifies task management, goal tracking, and daily organization. The platform helps users reduce stress, stay focused, and improve productivity through an intuitive and user-centered design.

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