Deebhan
AI ML& Full-Stack Developer
Contact Me
AI ML& Full-Stack Developer
Contact MeHi! I'm an Information Technology student with a strong interest in Software Development, Artificial Intelligence, Machine Learning, and Full-Stack Development. I enjoy building practical solutions, exploring new technologies, and continuously improving my technical skills. I've gained hands-on experience with Python, Java, React.js, Node.js, MongoDB, HTML, CSS, JavaScript, and SQL through academic projects and practical learning. I enjoy solving problems, collaborating with others, and taking on new challenges that help me grow. I'm always open to learning, connecting with like-minded professionals, and exploring opportunities where I can contribute and continue developing my skills.
AI-based internship recommender that helps students discover internships tailored to their skills and academic background. Provides personalized recommendations to simplify the internship search process.
Python • ML • React • FlaskYOLOv5-powered assistant with object detection, obstacle alerts, currency recognition, and voice interaction.
YOLOv5 • OpenCV • PythonAn Augmented Reality game using python model & mern stack where players catch virtual creatures in real-world environments.
Mediapipe • Pandas • NumPy •NPMWorked on enterprise IT support, system troubleshooting, business applications and digital workflow optimization.
Built AI-powered web applications using Python, Flask and Machine Learning. Developed an Internship Recommendation System with psychometric analysis and skill matching.
Developed Smart Assistance for the Blind, an AI-powered wearable solution that helps visually impaired people navigate safely using object detection, voice guidance, and obstacle recognition.
Built EDU AI, an AI-based educational platform that provides personalized career guidance, internship recommendations, and learning paths based on psychometric analysis and user skills.
Presented Muscle Link, an innovative assistive technology that enables users to control laptops, smartphones, and other digital devices using muscle (EMG) signals, providing an accessible AR-like interaction experience.
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