---
title: "Syed M. Saulat - Developer Intern in Bengaluru | Tal"
description: "Meet Syed M. Saulat, Artificial Intelligence and Machine Learning student at BMSIT based in Bengaluru. AI stack includes hugging face, ollama, and openai. Explore public work links including github."
image: "https://tal.club/meet/syed-m-saulat/share-image"
---

# Syed M\. Saulat on Tal

## Headline

Artificial Intelligence and Machine Learning student at BMSIT

## About

Currently pursuing a degree in Engineering with a specialization in Artificial Intelligence and Machine Learning at BMSIT&M\. Programming Languages: \-C \-Python \-MySQL \-MongoDB I am passionate about my AI&ML and leveraging my technical skills in Artificial Intelligence to contribute to innovative projects and solve complex problems\.

## Location

Bengaluru

## AI stack

hugging face

ollama

openai

replit

## Work experience

Developer Intern at Woostaa, Apr 2025 \- Aug 2025 · 5 mos, 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\.

Project Intern at Potentiam Ltd, Sep 2024 \- Nov 2024 · 3 mos, 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\.

## Education

Bachelor of Engineering \- BE, Artificial Intelligence and Machine Learning, Bms institute of technology and management

## Public links

- github: https://github\.com/Syedsaulat

[View the original profile](https://tal.club/meet/syed-m-saulat)

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