Machine Learning Internship
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Machine Learning Internship

Machine Learning Internship
A hands-on Machine Learning internship under IIT Dhaka University, where 20 students learned Python, TensorFlow, and real-world AI skills, executed by EDGE Bangladesh and HashTag Research.
Machine Learning Internship Program
Organized By: EDGE Bangladesh
Under Supervision Of: Institute of Information Technology (IIT), University of Dhaka
Executed At: HashTag Research & Technology Ltd.
Duration: September 2023 โ November 2023
Participants: 20 Selected Students
Nuxt IT was honored to contribute to the advancement of future-ready tech skills by organizing and leading a Machine Learning Internship Program under a prestigious initiative governed by EDGE Bangladesh. This initiative was run in collaboration with the Institute of Information Technology (IIT), University of Dhaka, one of the most respected tech education institutions in the country, and was successfully executed at HashTag Research & Technology Ltd.
๐ About the Program
The internship was designed to bridge the gap between academic learning and industry-ready machine learning applications. Spanning over a year, from September 2023 to November 2024, this intensive program catered to a carefully selected group of 20 highly motivated students who demonstrated a passion for artificial intelligence and data-driven technologies.
The program was led by Md Rashedul Islam, CEO and Senior Full Stack Developer at Nuxt IT, who brought deep expertise in full-stack development, cloud infrastructure, and AI technologies. His guidance ensured that students not only learned the theoretical aspects but also applied them to real-world scenarios through capstone projects and guided labs.
๐ Topics Covered
The internship curriculum followed a structured, progressive learning path that took students from foundational knowledge to advanced machine learning applications:
- Introduction to Artificial Intelligence & Machine Learning
- Python Programming for Data Science
- Numpy, Pandas, and Data Handling
- Data Preprocessing and Cleaning Techniques
- Data Visualization with Matplotlib and Seaborn
- Exploratory Data Analysis (EDA)
- Supervised Learning (Linear Regression, Logistic Regression, Decision Trees, Random Forests)
- Unsupervised Learning (Clustering, Dimensionality Reduction)
- Introduction to Deep Learning and Neural Networks
- TensorFlow Basics and Model Training
- Building, Evaluating, and Tuning ML Models
- Model Deployment Concepts
- Ethical Considerations in AI
- Hands-on Projects with Real Datasets
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๐งช Practical Learning
Students participated in lab-based sessions where they worked on multiple datasets sourced from public repositories and real industry use cases. The learning was highly interactive and application-focused, emphasizing experimentation, debugging, and performance evaluation.
Each student was guided through the process of:
- Designing an end-to-end machine learning pipeline
- Training and optimizing models using TensorFlow
- Evaluating accuracy, precision, and recall metrics
- Deploying lightweight models and visualizing results
- Documenting code and writing project reports
๐ Internship Outcome
By the end of the program, all 20 students had successfully completed:
- A capstone project based on a real-world problem statement
- A model report and codebase submission hosted on GitHub
- A presentation and demo session evaluated by a technical panel
The internship concluded with a certification ceremony acknowledging the successful completion and skill acquisition of each participant.
๐ก Why This Matters
This internship program stands as a successful case study of how industry and academia can collaborate to prepare skilled professionals in the emerging field of artificial intelligence. It showcases Nuxt IT's growing influence in the educational technology sector and its commitment to building the next generation of AI talent in Bangladesh.
By contributing our technical leadership and mentoring capabilities, we not only equipped the participants with cutting-edge skills but also strengthened our ongoing relationship with IIT, Dhaka University, and national-level development projects like EDGE.
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