#urgent
የInternship-II Paper እና የባንክ አካውንት ማስገቢያ ፎርም ለሴቶች ተልኳል, እየደወላቹ ሄዳቹ ፍርሙ እና ውሰዱ.

Contact
Rahel - 0946733964

Course Elective For 2nd Semester
Dear Student Representative of 4th and 5th year,
Share the following google link with your classmates to select elective courses for the upcoming semester.

The deadline is Sunday, February 18, 2024 at 5:00 PM.

https://forms.gle/cqrr51RVhLKdK1hK9

Notice: Don't Forget To Fill the Elective Choice From, The deadline is tomorrow

Current Statistics 📊
Only 93 Students has filled the form

1️⃣ Elective I
- Embedded System and Robotics Control - 24
- Human Computer Interaction - 67
- Compiler Design - 2

2️⃣ Elective II
- Blockchain and Cryptocurrency - 78
- Fundamental of Cloud and Edge Computing - 15

Click on the link below to fill the form
forms.gle/cqrr51RVhLKdK1hK9

Second semester tentative schedule

@astu_software

Message From Department

The prerequest for Probablity and Random Process Course is Applied Mathematics 2, there was an error saying it was Applied Mathematics 3.

Due to this, those who have dropped the course due to Applied Math 3, add the course by going to E-student Portal

- Mr. Mesfin

Message for all 4th Software Engineering Students who have chosen the course Fundamentals of cloud and edge computing.

Dear Students, plz be informed that the class schedule for Fundamentals of cloud and Edge computing on Friday 10.00AM at Block No.507 Room No.1

Pl share this message to all respective students who have chosen this course.

Thank u, have a Good Day Dr. Gopi

@astu_software

#Urgent_Notice
Please Fill the above form until March 11, 5:00 PM (11:00 LT)

Make sure you fill in:
- Your full name (First Middle Last)
- Your Bank account

#Notice

Those of you who didn't fill out the form, please make sure to fill it out today.

INTERNSHIP ALERT!

Students planning to work your internship at ASTU, there is an open opportunity for 5 students.

For more information and to register, contact @kumext, and tell them you're interested

#Internship #Opportunity

#InfraTech paid internship

Job Title: Machine Learning Intern - Automatic License Plate Recognition (ALPR) Model Training

Job Denoscription:
We are seeking a highly motivated Machine Learning Intern to join our team and assist in training a model for Automatic License Plate Recognition (ALPR) service. This internship offers an exciting opportunity to work on cutting-edge technology in the field of computer vision and machine learning while gaining hands-on experience in model development, deployment, and mobile inferencing.

Major Tasks:
1. Data Collection and Preprocessing: Assist in gathering and preprocessing a diverse dataset of license plate images, ensuring data quality and consistency.

2. Model Development: Collaborate with the team to develop and fine-tune machine learning models for ALPR using state-of-the-art algorithms and techniques.

3. Training and Evaluation: Implement training pipelines and conduct experiments to train the model on the collected dataset, evaluating performance using appropriate metrics.

4. Hyperparameter Tuning: Explore various hyperparameters and optimization strategies to enhance model accuracy and robustness.

5. Model Deployment: Work towards deploying the trained model into a production environment, ensuring compatibility and efficiency. Additionally, optimize the model for deployment on mobile devices to enable real-time inferencing.

6. Mobile Inferencing: Develop and implement efficient inferencing strategies to enable the ALPR model to run effectively on mobile devices, considering constraints such as computational resources and power consumption.

7. Documentation: Maintain detailed documentation of the model development process, including methodologies, findings, and best practices, with specific focus on mobile deployment and inferencing.


Experiences Required:
1. Education: Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or related field with a focus on machine learning, computer vision, or artificial intelligence.

2. Programming Skills: Proficiency in Python programming language and experience with popular machine learning libraries such as TensorFlow or PyTorch.

3. Machine Learning Fundamentals: Understanding of machine learning concepts including supervised learning, neural networks, and convolutional neural networks (CNNs).

4. Data Handling: Familiarity with data manipulation and preprocessing techniques using libraries like NumPy, pandas, and OpenCV.

5. Problem-Solving Skills: Strong analytical and problem-solving skills with the ability to experiment, iterate, and adapt to challenges in a fast-paced environment.

6. Teamwork and Communication: Excellent communication skills and the ability to work collaboratively in a team setting, sharing ideas and contributing to discussions effectively.

7. Initiative and Eagerness to Learn: Proactive attitude towards learning new technologies and methodologies, with a keen interest in advancing skills and knowledge in machine learning and computer vision.

Quantity required: 1
Deadline: March 31, 2024
Please send us your resume at admin@infratech.technology

Dear all, kindly verify that your CBE Account Number is solely registered under your own name. We strictly prohibit the use of account numbers associated with family members or friends. If you encounter any discrepancies with your account number, please come to the SoEEC Registrar office for assistance. Thank you for your cooperation.