Can you put this document in a microsoft office project file?

Please note to put the time of every task as mentioned, also every task in it's category:

Categories is

-Requirement-Oriented Work breakdown structure

-Scheduling

-Dependencies among Tasks

-Resource Allocation

-Cost

-Milestones

Project Name: Machine Learning-Based Fall Detection for Elderly

Requirement-Oriented Work breakdown structure

1-Problem Study:- The first step is to understand the problem statement

correctly. The use of understanding problem statement is that through it

solutions can be found easily. The main use in terms of Machine learning is

that by understanding problem the requirements in terms of Data can be

understood also process required to work better can be understood.

2-Data Collection:- It is a very challenging task to collect data in real time by

the people especially performing activities by the elderly people. For an

efficient elderly fall detection system, the dataset should contain the falls

and daily life activities performed by the elderly people. This Data should be

collected, and this should also be accurate.

3-Data Preprocessing:- . Once the data is acquired, preprocess the data to

remove the unwanted noise from the data so that better classification can be

performed by the machine learning algorithms. Choose the best filters.

4-Feature Extraction:- Extract the features for the purpose of classification.

The dataset may contain many features extract the features that are useful in

classification

5-Data Analysis:- Do a complete analysis of data for better understanding of

data provided.

6-Fall Detection:- Classify the activity whether it is a fall or not. Use different

classification algorithms check the accuracy apply some test result as well

and verify the working of algorithms then choose the best one for Fall

Detection.

7-Testing:- This part is the toughest and probably tensed part as the Machine

learning model will be tested with real time data. If it succeeds, then passed

to next step or else analyze the issue and take measures that are needed.

8-UI Creation:- Finally if every step is passed create UI or frontend for this

solution.

9-Deployment:- The final product can be deployed to server either through

web services or own server.

Scheduling

1-Problem Study:- Problem study can be taken 3 days to 1 or 2 weeks as

understandability of solution to a particular problem takes time.

2-Data Collection:- This phase is the most time taking phase as if Data is

already available through different sources then its ok , it may not take much

time but if Data is not available then may take 3 or 4 months for collection

of real time data. But there can also occur an issue as 3 or 4 months cannot

produce much needed data so can take as many as month until it fulfills

initial analysis. Accuracy of data completely depends on no of data

available.

3- Data Preprocessing:- It depends on the type of data and quantity of data. It

can take 2 or 3 days or even may be weeks depending on data.

4-Feature Extraction:- This can also take too long as for feature selection

understanding data is important task. It can take months.

5-Data Analysis:- This can also be time taking as with available data insights

are made.

6-Fall Detection:- This does not take much time as machine learning libraries

are already available through different medium just needed to apply it, so it

does not take much time but also time can increase depending on no. of data.

7-Testing:- This can be done in 1 day or may be in a week. As its being tested

real time different it depends on many things.

8-UI Creation:- This can also take a long-time front end developing is not an

easy task so it can take up to 3 to 6 months.

9-Deployment:- Deployment is not a time-consuming task it can be done

easily on different web services or own servers.

Dependencies among Tasks

1-Problem Study:- It can depend on many factors. The risk of falling and the

number of factors is interrelated i.e., the risk of falling increases as the

number of factors increases. for egg in fall detection the risk factors are

categorized into three main types: behavioral, environmental, and biological

risk factors Behavioral risk factors are related to human actions, emotions,

and activities of daily life. These factors are controllable through the

strategic intervention. If a person falls due to excess intake of drugs, alcohol

then this habit or behavior can be modified by strategic treatment.

Environmental risk factors originate from the surrounding environment of a

person. Slippery floors, insufficient lighting and cracked pathways are some

of the major environmental risk factors.

2-Data Collection:- This task completely depend on the ways data are gathered

it can be through buying or through real time data if its real time then also

risk factors are depended.

3-Fall Detection:- This task depends on data a lot only if data is correct then

only it will work properly.

Resources Allocation

Ui or front-end creation should be divided to 2 people if it is a team of 4. Data

Collection should be responsibility of another team member and Handling and

working on data should be assigned to the 4th member.

Cost

If any electrical equipments are used for data collection like here different sensors

can be used to detect fall this equipment may cost during data collection stage.

Also, if data is being bought through different source at that stage also cost can

occur. Then during deployment process if any we service is used it can cost or

even if own server is used even in those case cost can occur.

Milestones

If the model work properly its fine but still the model needs to be retrained

considering a timeline as new data will be available need to retrain and improve

functionality.