Skip to content
View Saeed-dev2's full-sized avatar
1 follower · 0 following

Block or report Saeed-dev2

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.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

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

Report abuse
Saeed-dev2/README.md

Hi 👋, I'm Muhammad Saeed

Electrical Engineer focus on Embedded System,Data Science, Machine Learning.

  • 🎓 I am Graduated in Electrical, ELectronics and Telecommunication Engineering.
  • 🎓 Currently, I'm working on machine learning and artificial intelligence, learning about advanced algorithms and neural networks.
  • 💼 I previously worked at EPTeck, where I focused on developing smart IoT-based solutions.
  • 🧑‍🔬 I'm passionate about using technology to solve real-world problems and improve the environment.
  • ✨ I love to participate international Coding Competitions.

Saeed-dev2

  • 💬 Ask me about Embedded System, Machine Learning, Deep Learning, AI

Connect with Me:

Languages and Tools:

aws cplusplus css3 git html5 java linux opencv pandas python pytorch scikit_learn seaborn tensorflow

Saeed-dev2

 Saeed-dev2

Saeed-dev2

Pinned Loading

  1. SOIL_IRRIGATION_AND_MOTION_DETECTION_SYSTEM SOIL_IRRIGATION_AND_MOTION_DETECTION_SYSTEM Public

    "An Automated System Leveraging ESP32 and FreeRTOS to monitor soil moisture and detect motion. It controls irrigation via a relay and triggers a buzzer for motion alerts. Ideal for efficient and re…

    C 3

  2. MPU6050_SENSOR MPU6050_SENSOR Public

    "ESP32 interface with MPU6050 sensor using I2C protocol. This project reads accelerometer and gyroscope data from the MPU6050 and logs it using the ESP-IDF framework."

    C 5

  3. LLM-Engineers-Handbook LLM-Engineers-Handbook Public

    Forked from PacktPublishing/LLM-Engineers-Handbook

    The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

    Python 2

  4. poultry_Form_Disease_Deep-Learning-Machine-Learning-Computer-vision poultry_Form_Disease_Deep-Learning-Machine-Learning-Computer-vision Public

    An AI-powered poultry disease detection system that uses deep learning to classify chicken feces images. Built with TensorFlow and Streamlit, it provides quick, accessible diagnosis for farmers. Tr…

    Jupyter Notebook 1

  5. my-streamlit-app my-streamlit-app Public

    A clean, Dockerized Streamlit app for rapid deployment of interactive data applications—built as a foundation for scalable AI and ML projects.

    Python 1