I'm a passionate data science student with expertise in machine learning, Python development, and generative AI, continuously striving for excellence through hands-on projects and research.
I'm a final-year Data Science student passionate about Machine Learning and AI. I enjoy tackling complex problems 💡 and collaborating with teams 🤝 to create impactful solutions. Turning data into insights 📊 and building tools that make a difference motivates me. I'm committed to continuous learning 📚 and always eager to grow and contribute 🚀.
C, Python, MySQL
B.Tech in Computer Science (Data Science)
Automatic Number Plate Recognition: A Deep Dive into YOLOv8 and ResNet-50 Integration
Published in: IEEE Conference 2024
This research presents a novel approach to automatic number plate recognition (ANPR) by integrating YOLOv8 for vehicle detection and ResNet-50 for license plate character recognition. By leveraging deep learning techniques, the system efficiently identifies and tracks vehicles in real time, with applications ranging from traffic management to parking systems.
An AI solution for a retail store that integrates a question-answering system over SQL databases to assist with inventory management.
Built a system using YOLOv8 for vehicle detection and ResNet-50 for character recognition to automate vehicle entry tracking.
Performed sentiment analysis on Reddit posts using Natural Language Processing (NLP) techniques, achieving a 70% accuracy rate.
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rohanchopade2621@gmail.com