A system which can be easily help every citizen to clean their city using deep learning concepts ,this project is basically an app which allows user to to sign up with the credentials like name age cnic number etc. for authentication then user is redirected to complain portal clicks the picture of t
Safai Dost
A system which can be easily help every citizen to clean their city using deep learning concepts ,this project is basically an app which allows user to to sign up with the credentials like name age cnic number etc. for authentication then user is redirected to complain portal clicks the picture of the trash and upload on the server the server predicts whether the picture is trash or non-trash ,then after the success the complaint is registered with location pin point which helps to form the graph in the map ,also it helps the trash picker’s to pick according to the points with database respectively.Trash is the common problem in the world especially in the under developed countries like Pakistan.In Karachi city having five districts creates the hard situation to manage the things ,we see our streets dirty ,unclean which causes problems. Having this problem requires a good idea for revolutionary process, so using deep learning and some other skills we can solve this main problem including other places then this city.
The purpose of this project is to reduce human efforts and to ensure the mangement of the organization by saving time and money.
Our main focus of our project is on the following objectives:
Using CNN with proper dataset more than 1000+ images per class we train the model using sequential method that helps to predict the status of the image either it's trash or non-trash ,than this model file with extension .h5 used in the android application with firebase ,the picture from android captured hit the model file predicts the status of it,then all the data is stored in the database with clicked picture,person cresdentials and with a pin point generate.Using Google Map API a proper sets of points is set up on the map just like we saw now a days in covid-19 issue.
Now after a points implemented every driver has its own area to clear according to the points,an algorithm here is used which is travel salesman problem allows to save time and money(fuel) .
For identification of the trash procedure the system will be utilized in several areas which is “Trash Recognition” system. Some of its uses are :
Basically its a project based on two android applications:
Users: have an access to upload the affected area picture (after sign- in) then system will tell them about the status if it is not trash than user have to submit the right picture else it will save the image in database and marked a pin point of the area in the map (along with altitudes and latitudes) and save it in logs directory with person cresdentials,the more the accurate reports in person log the more towards the rank system(Good Citizen) .
Trash Truck : have an access to visit specific blocks/areas which is fixed by the organization and after the approval have to visit the affected area for cleanliness ,driver has to upload the picture of cleared area thats just saves in the log file ,the less number of complains leads to more power to the driver reputation.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| GPU | Equipment | 1 | 14000 | 14000 |
| API | Equipment | 1 | 32084 | 32084 |
| Total in (Rs) | 46084 |
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