Do atleast one mini or main Project
why project
Resume lo skills entha importantoo project kuda anthe important…Meru final year ki vasthey main project pettandi resume lo….
Ledha kanisam mini project ayina pettandi ledha mee resume shortlist avvaka povachu…
Mini project or main project kosam mee departments ni approach avvandi ledhaa…online lo try cheyandi but money matram waste cheyadhu…
No Project
meeru etuvanti project cheyaka pothey , atleast mee resume mini project ayina pettandi mee domain ki related gaa,
online lo chala mini projects untayi avi petteyandi but, dhani meedha knowledge thechu kondi.. interview lo cheppagala gali….
Interview questions on project
Interviewer tell me about your project ani adaganne, you have to explain briefly about your project, but must ga eee five points undali…
1. project abstract
2.your role
3. tool and technology used
4. why
mostly asked qns in interview about project,,,, below qns answers are related to my project…
[3:23 pm, 31/07/2022] Daveedu Raju Akurathi: Project Name: face mask detection using deep learning
Url:https://github.com/balajisrinivas/Face-Mask-Detection
Playlist: https://youtube.com/playlist?list=PLiAhPUu0VK2dv-lZgn68KT4D4APXfbx65
1.Intall anoconda for anaconda prompt
2.change directory of anconda prompt to required directory by using command cd.
3.install libraries which are in requirements.txt file using command pip install -r requirements.txt
4.double check to install all the packages by command pip install packageName
5.finaly to open live webcam command python detect_mask_video.py
6.to train command train_mask_detector.py before the command change the directory in the code
[3:23 pm, 31/07/2022] Daveedu Raju Akurathi: 3.HOW MANY MODULES DOES YOUR PROJECT CONTAINS AND WHAT ARE THERE?
ANS : there are total 9 modules which are
1 DATA VISUALIZATION
2 DATA AUGMENTATION
3 SPLITTING THE DATA
4 BUILDING THE MODEL
5 PRE-TRAINING THE CNN MODEL
6.TRAINING THE CNN MODEL
7.LABELING THE INFORMATION
8.IMPORTING THE FACE DETECTION
9.
DETECTING THE FACES WITH AND WITHOUT MASKS
study about above modules in the documentation
4.WHAT SOFTWARE MODEL USED IN THIS PROJECT?
AND : it is comes under ” water fall model”
study about waterfall model in sdlc for more content
5.WHAT ALGORITHS ARE USED IN YOUR PROJECT AND EXPLAIN?
ANS : give explanation about HAAR FEATURE-BASED CASCADE CLASSIFIERS
algorithm and read about CONVOLUTION NETWORK LAYER(cnn)
6.WHAT PROGRAMMING LANGUAGE USED ?
…
[3:23 pm, 31/07/2022] Daveedu Raju Akurathi: 15.What was the domain?
It was Deep learning
16 what was the objective of the project?
To detect the individual wearing a mask or not using deep learning
[3:23 pm, 31/07/2022] Daveedu Raju Akurathi: Read about These:
Abstract
Introduction
Existing System
Drawbacks Of Existing System
The Proposed System
Advantages of proposed system
Methodology
Algorithm
Conclusion
