Crime rate prediction
The sparsity of crime in many areas complicates the application of the prediction rate area-specific modeling. We used the Machine Learning algorithm in that work to create and test age, sex, year, moment, month prediction of crime. In that job we use deep learning algorithm LSTM for pattern recogni
2025-06-28 16:26:02 - Adil Khan
Crime rate prediction
Project Area of Specialization Artificial IntelligenceProject SummaryThe sparsity of crime in many areas complicates the application of the prediction rate area-specific modeling. We used the Machine Learning algorithm in that work to create and test age, sex, year, moment, month prediction of crime. In that job we use deep learning algorithm LSTM for pattern recognition. By using these predict systems we will discover the stronger precision in the future and also by using this precision we will identify and discover the hot zone region in crime rate
Project Objectivesthis project may help police department and law enforcement agencies to surmount occurence of future crimes , and also aware the public abount hot zone and mostly occured crimes .
Project Implementation Methodwe will use deep learning learning algorithm LSTM which stand for long short term memory ,python wil be used as implementation medium.
Benefits of the Projectthis project may help police department and law enforcement agencies to surmount occurence of future crimes , and also aware the public abount hot zone and mostly occured crimes .
Technical Details of Final Deliverablethis will be base on deep learning ,here we will use deep learning ApI keras .We will use LSTM algorithm for pattren recognition .
this system will predict the occurence of future crimes in a particular region.
this system is mainly design intillegence institution and law enforcement egencies.
Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Security Core Technology Artificial Intelligence(AI)Other Technologies OthersSustainable Development Goals Life on LandRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 45000 | |||
| Resberry Pi 4 Board | Equipment | 1 | 26000 | 26000 |
| LCD screen | Equipment | 1 | 19000 | 19000 |