Skip to content
View Mugeshst007's full-sized avatar

Block or report Mugeshst007

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Mugeshst007/README.md

Hi, I'm Mugesh ST 👋

AI Engineer & Machine Learning Developer

I build practical AI applications using machine learning, deep learning, NLP and computer vision.

LinkedIn Email GitHub

About Me

  • 🎓 B.Tech graduate in Artificial Intelligence & Data Science
  • 💻 Interested in Machine Learning, Deep Learning, NLP and Computer Vision
  • 🌱 Currently learning Generative AI, Transformers, LangChain and SAP ABAP
  • 🧠 Experienced in converting trained models into usable web applications and APIs
  • 🎯 Open to AI/ML, Data Science and Python Developer opportunities

Technical Skills

Languages
Python SQL HTML CSS JavaScript

Machine Learning & Data
TensorFlow Keras scikit-learn Pandas NumPy

Applications & Tools
FastAPI Flask Streamlit MySQL Git GitHub

Featured Projects

Project Description Technologies
Alzheimer’s Disease Detection Detects signs of Alzheimer’s disease from brain MRI images and returns the predicted class with a confidence score Python, TensorFlow, Keras, CNN
FetoScan Multimodal fetal anomaly detection using ultrasound images, CTG data and explainable AI TensorFlow, CNN, FastAPI
Car Price Prediction Predicts used-car prices from vehicle, mileage, ownership and location information Python, Scikit-learn, Streamlit
Stress Detection Predictor Predicts stress levels from physiological and sleep-related parameters Random Forest, Neural Network, Flask
Rumor Detection Detects real-time tweet rumors using machine learning and NLP CNN, NLP, Jupyter Notebook

Current Focus

  • Building stronger end-to-end machine-learning applications
  • Exploring LLMs, RAG, AI agents and function calling
  • Improving model deployment using FastAPI and Streamlit
  • Learning SAP ABAP and ABAP on HANA fundamentals

Let's connect and build something useful.

LinkedIn • Email • GitHub

Popular repositories Loading

  1. rumor-detection rumor-detection Public

    A Machine Learning–Based System for Real-Time Tweet Rumor Detection using CNN

    Jupyter Notebook

  2. Mugeshst007 Mugeshst007 Public

    readmefile

    Python

  3. FETOSCAN-AI-Powered-Multimodal-Real-Time-Fetal-Anomaly-Detection- FETOSCAN-AI-Powered-Multimodal-Real-Time-Fetal-Anomaly-Detection- Public

    FetoScan is an AI-powered multimodal system for real-time fetal anomaly detection using ultrasound images and CTG data, enhanced with explainable AI for clinical interpretability.

    HTML

  4. stress-detection-predictor stress-detection-predictor Public

    A machine learning and deep learning web application that predicts stress levels (Low, Medium, or High) using eight physiological and sleep-related parameters. The application uses Random Forest an…

    HTML

  5. Car_Price-Prediction Car_Price-Prediction Public

    A Streamlit-based machine learning application that predicts used-car prices using vehicle specifications, ownership details, mileage and location.

    Jupyter Notebook

  6. alzheimers-disease-detection alzheimers-disease-detection Public

    A deep learning-based application that detects signs of Alzheimer’s disease from brain MRI images and returns the predicted class with a confidence score.

    Jupyter Notebook