Syed M. Saulat
Artificial Intelligence and Machine Learning student at BMSIT
Bengaluru
< 1 year of work experience
Apr 20255 mosAug 2025
Bengaluru, Karnataka, India
Researched and applied natural language processing ideas for AI chatbot development and
improvement.
Helped the development team write clean and efficient Python code modules.
Gave useful feedback during daily stand-ups and team discussions.
Sep 20243 mosNov 2024
Bengaluru, Karnataka, India
Highlights of My Mask Identifier Project
Project Overview: I developed a machine learning application to detect mask compliance in images and real-time video streams.
Technologies Used:
Python for core application development.
OpenCV for image and video processing.
TensorFlow for training and using the mask detection model.
Streamlit for building an interactive and user-friendly web interface.
Key Features:
Upload images to check mask compliance.
Detect masks in real time using webcam input.
Adjust image brightness and contrast for better results.
Challenges Tackled:
Integrated real-time video processing smoothly.
Improved performance for quick and accurate mask detection.
Designed a clean and responsive user interface for non-technical users.
Impact:
Supports public health by ensuring mask compliance in various settings.
Provides a practical way to monitor mask usage in public spaces or events.
Skills Gained:
Integrating machine learning models.
Developing real-time applications with Python and OpenCV.
Building interactive dashboards with Streamlit.
Syed’s AI Stack
Education
Bachelor of Engineering - BE, Artificial Intelligence and Machine Learning
Bms institute of technology and management
20224 yrs2026
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