Project
Unix Shell (C)
custom shell with pipes, redirection and command history.
Basit IbrahimBRAC University
Projects, articles, research and activities by students at BRAC University.
Project
custom shell with pipes, redirection and command history.
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end-to-end ML workflow with preprocessing, linear regression and evaluation metrics.
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social-impact crowdfunding web application.
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built and trained CNN models, covering data preprocessing, architecture design and evaluation.
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Designed a fan-focused website using Google Sites, featuring FC Barcelona news, player profiles, club history, multimedia content, and football merchandise promotions to engage supporters in Bangladesh.
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Conducted a qualitative research study titled “Financial Transaction Reconciliation and Process Coordination at Bangladesh Bank: Key Factors to Financial Supply Chain Management,” focusing on financial reconciliation, interdepartmental coordination, and o
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P Rodela (2023), ‘uncertain love’, Resonance, Vol 6, pg 23-24
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P Rodela (2023), ‘it is a curse: period!’, Resonance, Vol 5, pg 82
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Compared Logistic Regression, Decision Tree and KNN (Python).
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Document-based database with CRUD operations (MongoDB).
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7-table database (2NF), redesigned ERD, 12 analytical queries.
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Journal entries, invoices, P&L and Balance Sheet (QuickBooks).
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Cleaned 1,193 rows and built an interactive KPI dashboard (Excel, Power BI).
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Developed an end-to-end machine learning pipeline using Python,Pandas,Matplotlib to classify food delivery speeds across multiple models, achieving 78% accuracy and 0.92 ROC-AUC with Logistic Regressi
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Manging parking spots using mern stack and mongo db.
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Built a 3D exploration game using OpenGL, implementing custom navigation algorithms and enemy patrol AI logic and Applied advanced logic-building to optimize rendering performance
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Designed a web-based management system, utilizing MongoDB to engineer efficient database schemas for structured data storage and retrieval and Leveraged Git/GitHub for version control.
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Built a machine learning model to classify software quality using complexity, churn, bugs, testing, and developer-experience features. Preprocessed 1,600 records and compared multiple classification algorithms using standard evaluation metrics.