Saif Mohammed

I’m a Computer Science and Engineering undergraduate student at North South University in Dhaka, Bangladesh. I work on artificial intelligence and modern software systems. I serve as the Coordinator and Academic Mentor of the R&D Group and as the Moderator of the Web Group at the NSU ACM Student Chapter. My interests include Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Software Engineering, and Database Systems.

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Selected Research Projects

My research lies at the intersection of Artificial Intelligence and the Internet of Things. I specialize in Deep Learning, with a specific focus on Computer Vision, Natural Language Processing, and Generative AI. Key reports are highlighted below.

CareerMAS: A Multi-Agent LLM Framework for Career Guidance and Job Placement in Bangladesh
Saif Mohammed, Humayra Rahman Nipa, Ankita Kundu, Sabab Ashfak Fahim
University Project / Machine Learning, 2025
report / code

A multi-agent framework integrating web-scraped data and ML-based salary prediction to provide personalized career recommendations. Using fine-tuned LLMs, it converts unstructured job listings into actionable insights to align job seekers with market demands in Bangladesh.

DiabetIQ: An Intelligent Diabetes Management Application with an Integrated LLM-Augmented Chatbot and Machine Learning-Driven Early Risk Prediction
Saif Mohammed, Nazibul Islam Nabil, Humayra Rahman Nipa, Umme Suraia Haque Setu
University Project / Junior Design Project, 2025
report / code

A Flutter-based health framework combining an LLM-augmented RAG chatbot for verifiable medical advice with ML-based early risk prediction. The system analyzes user health data to predict hypo- and hyperglycemia risks, enabling proactive diabetes care.

ClueChain: A Bayesian Network-Based Mystery Solver Application
Saif Mohammed, Humayra Rahman Nipa, Mainul Kaysar, Jannatul Islam, Saif Uz Zaman
University Project / Artificial Intelligence, 2025
report / code

An interactive application that applies Bayesian inference to fictional mystery scenarios. Users input clues and evidence, and the system calculates the probabilities of different suspects, offering a data-driven approach to deduction.

AI-Powered Competitive Programming Code Generation Tool Leveraging Large Language Models
Saif Mohammed, Shawal Kabir Chy., Sadia Ibnat Isamoni, Humayra Rahman Nipa
University Project / Deep Learning, 2025
report / code

An iterative pipeline using Code LLaMA and Mistral-7B to generate, verify, and explain algorithmic solutions. By combining self-reflection with execution-based debugging, the system improves solution accuracy and provides pedagogical support for competitive programming.

7 Segment LED Display Project: Combinational and Sequential Logic Circuit Design to display "IUBFALL"
Saif Mohammed, Al Zamee, Humayra Rahman Nipa, Umme Suraia Haque Setu
University Project / Digital Logic Design, 2023
report / simulation

A hardware implementation utilizing a 4:1 Multiplexer and seven-segment display to visualize the text sequence "IUBFALL". This project demonstrates cost-effective and rapid prototyping of interactive displays using fundamental logic circuit design.