Python A Problem Analysis of Smart Home Automation: Toward Secure Communication-Based Authorization
1. In this project based on Webpage Flask model for Predicting University Student Graduation.
2. Input: The dataset, Smart Home Automation dataset is implemented as input. The input dataset is taken from dataset repository.
3. Pre-processing: The collected input data’s are subjected to pre-processing. In the Pre-processing step,
Can handle the missing data
Can perform label encoding
Drop unnecessary columns (if needed)
NLP processing
4. Feature Extraction : In this step Feature extraction using Genetic Algorithm and PCA Algorithm
5. Data splitting: In this step, the pre-processed data’s are split into train set and test set for decision
Train data is used for evaluate the model (80%).
Test data is used for predict the model (20%).
6. Classification : In this step, we can implement the different ML /DL algorithms Classification model such as,
Random Forest Algorithm
Decision Tree Algorithm
KNN Algorithm
Xgboost Algorithm
Hybrid Xgboost and RandomForest Algorithm
7. Output/objective: The objective is to classify or predict for Predicted Smart Home Automation 0 or 1 on dataset attributes by using the classification algorithms.
8. Comparison: In this step, we can compare the both machine algorithms results and will display which algorithm is efficient.
9. Performance Estimation: In this step, we can analyse some performance metrics such
Accuracy
Loss
Confusion Metrics
Classification Report
Train and test Accuracy
Train and test Loss
F1 Score
ROC
AUC
Note:
All the process is going to be done as per the description given above.
The dataset will be provided by us.
Not a real time project.
No GUI is provided.
Language: Python
Front End: Streamlit (HTML and CSS)
Back End: Anaconda Navigator – Spyder Console
Including Packages
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Base Paper
Complete Source Code
Complete Documentation
Complete Presentation Slides
Flow Diagram
Database File
Screenshots
Execution Procedure
Readme File
Addons
Video Tutorials
Supporting Softwares
Specialization
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