Supershop management Models: An optimised way to manage the supershop using hyperautomation and machine learning

Supershop management Models: An optimised way to manage the supershop using hyperautomation and machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí:	Ahmed, Shuvro, Mojumder, Rajesh, Rahman, MD.Mahmudur, Karmoker, Joy, Fatin, Shadman
Rannpháirtithe:	Rabiul Alam, Md. Golam
Formáid:	Tráchtas
Teanga:	English
Foilsithe / Cruthaithe:	Brac University 2023
Ábhair:	Hyperautomation Data mining Machine learning NLP Smart contact system Voice Bot SpaCy Linear regression analysis Time series analysis
Rochtain ar líne:	http://hdl.handle.net/10361/19393

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Bangla speech to text conversion using CMU sphinx
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Self-learning game bot using deep reinforcement learning
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A hybrid rumor detection model derived from a comparative study of supervised approaches
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Predicting depression in Bangladeshi undergraduates using machine learning
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Analysis of the impact of online education using EEG signals and machine learning algorithms
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Voice recognition using machine learning and central database to enhance security system
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Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
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Alumni opportunities using machine learning
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Machine learning as an indicator for breast cancer prediction
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Examining lexical and grammatical diﬃculties in Bengali language using NLP with machine learning
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Chronic kidney disease detection using ensemble classi ers and feature set reduction
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Observing mega cities to grow from space and predicting its growth using machine learning techniques
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Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
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Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
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Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
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Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
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A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
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A machine learning approach to detect depression and anxiety using supervised learning
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Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning
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Predicting climate induced floods using machine learning
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Crop prediction based on geographical and climatic data using machine learning and deep learning
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Application of machine learning in credit risk assessment: a prelude to smart banking
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The influence of neuromarketing: machine learning based empirical analysis
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Efficient network traffic management and intelligent decision-making through machine learning and DNS log analysis
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An implementation and analysis of deep learning models for the detection of wheat diseases
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Real-time foul detection in football matches using machine learning techniques
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Fault detection in waste water treatment plant using statistical analysis & machine learning
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Machine Learning /
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