IMAGE CLASSIFICAION OF ALL MTU CHAPEL BOOKS USING ARTIFICIAL NEURAL NETWORK

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📄 Project Abstract

This project is based on Image Classification of all MTU chapel books using artificial neural network which will be used in Mountain Top University Chapel. The staff in chapel checks for student that don't come with their chapel books, even when the students are so many, in the process time wastage comes in, with the help of artificial neural network which will be used to check student without their chapel book then, that can make students comes to the chapel with their chapel manuals. The aim of this project is to create a system that can notify students that enters Mountain Top University chapel without their chapel book which has been made compulsory to all students to get it. To achieve this, the pictures of all the MTU chapel books will be taken for the system to recognize. This project was built using the Jupyter Notebook environment. In the Jupyter Notebook environment, data was uploaded in the environment where the data will be trained so, the system will be able to recognize i...

🔍 Key Research Areas Covered
  • ✅ Literature Review & Theoretical Framework
  • ✅ Research Methodology & Data Collection
  • ✅ Data Analysis & Statistical Methods
  • ✅ Findings & Results Discussion
  • ✅ Recommendations & Conclusions
  • ✅ References & Bibliography
📚 Complete Project Structure
Chapter 1: Introduction & Background
  • Problem Statement & Objectives
Chapter 2: Literature Review
  • Theoretical Framework & Related Studies
Chapter 3: Research Methodology
  • Data Collection & Analysis Methods
Chapter 4: Data Analysis & Results
  • Findings & Statistical Analysis
Chapter 5: Discussion & Conclusion
  • Recommendations & Future Research
Appendices: Supporting Documents
  • Questionnaires, Data, References
⭐ Why Choose This Computer Science And Mathematics Project Topics Project?
🎯 Well-Researched

Thoroughly researched with current and relevant sources

📊 Complete Data

Includes statistical analysis and detailed findings

✍️ Original Content

100% original research with proper citations

📝 Properly Formatted

APA/MLA formatting with table of contents

🎓 Supervisor Approved

Meets university standards and requirements

⚡ Instant Download

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💬 What Students Say

"This project provided excellent guidance for my Computer Science And Mathematics Project Topics research. The methodology was clear and the data analysis helped me understand the proper approach."

— Final Year Student, Science Project Topics
Full Citation:

OBIKE EMMANUEL. (). IMAGE CLASSIFICAION OF ALL MTU CHAPEL BOOKS USING ARTIFICIAL NEURAL NETWORK. African and General Studies, 40, 14858.

Citation Formats:
APA
OBIKE EMMANUEL. (). IMAGE CLASSIFICAION OF ALL MTU CHAPEL BOOKS USING ARTIFICIAL NEURAL NETWORK. African and General Studies, 40, 14858.
MLA
OBIKE EMMANUEL. "IMAGE CLASSIFICAION OF ALL MTU CHAPEL BOOKS USING ARTIFICIAL NEURAL NETWORK." African and General Studies, vol. 40, , pp. 14858.
Chicago
OBIKE EMMANUEL. "IMAGE CLASSIFICAION OF ALL MTU CHAPEL BOOKS USING ARTIFICIAL NEURAL NETWORK." African and General Studies 40 (): 14858.
Full Citation:

OBIKE EMMANUEL. (). IMAGE CLASSIFICAION OF ALL MTU CHAPEL BOOKS USING ARTIFICIAL NEURAL NETWORK. African and General Studies, 40, 14858.

Citation Formats:
APA
OBIKE EMMANUEL. (). IMAGE CLASSIFICAION OF ALL MTU CHAPEL BOOKS USING ARTIFICIAL NEURAL NETWORK. African and General Studies, 40, 14858.
MLA
OBIKE EMMANUEL. "IMAGE CLASSIFICAION OF ALL MTU CHAPEL BOOKS USING ARTIFICIAL NEURAL NETWORK." African and General Studies, vol. 40, , pp. 14858.
Chicago
OBIKE EMMANUEL. "IMAGE CLASSIFICAION OF ALL MTU CHAPEL BOOKS USING ARTIFICIAL NEURAL NETWORK." African and General Studies 40 (): 14858.
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