
About Me
I am a Computer Science undergraduate with a strong interest in Artificial Intelligence, Machine Learning, and Full Stack Development. I have hands on experience building real world AI solutions, including an LSTM based crop price prediction system and an Adaptive Traffic Flow Control System using YOLO and LSTM.
My technical skills include Python, Java, SQL, HTML, CSS, and JavaScript, along with experience in TensorFlow and data analysis. I focus on writing clean, modular, and efficient code while ensuring scalability and performance.
Through academic projects and internships, I have strengthened my problem solving, analytical thinking, and debugging abilities. I am passionate about building intelligent, data driven systems that solve practical problems and continuously improving my technical expertise in AI and software development.
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