Find and rehabilitate the missing drug addicts using ML
The families of drug-addicted persons are invisible victims who also suffer with patients. These patients move from city to city without any clear identity and they can be found under bridges at midden, at desolate places. In an unconcious condition. They die under these circumstances and their fami
2025-06-28 16:27:14 - Adil Khan
Find and rehabilitate the missing drug addicts using ML
Project Area of Specialization Artificial IntelligenceProject SummaryThe families of drug-addicted persons are invisible victims who also suffer with patients. These patients move from city to city without any clear identity and they can be found under bridges at midden, at desolate places. In an unconcious condition. They die under these circumstances and their families are unable to find them. We have proposed a solution for above problem.
Project ObjectivesThis proposed solution will help those families to find out their loved one’s whom gone far away from their home because of drug addiction.
Project Implementation MethodThe machine learning algorithm will recoginze the image of that person which was uploaded by his family or by any random person or by an NGO and will match both images and will notify the concern user.
This app will be a most beneficial for welfare organizations & citizens to find out their loved ones on their fingertips.By this application we can easily find Our beloved one who are suffering by drug addiction and left their homes.It will make the work easier for relevant departments and also create new path to serve humanity.
Technical Details of Final DeliverableAn mobile application & website will be created in the end which will find the miss drug addicts persons using machine learning face recognition algorithm and serve the entire community.
Final Deliverable of the Project Software SystemCore Industry ITOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Good Health and Well-Being for People, Gender Equality, Industry, Innovation and InfrastructureRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 51000 | |||
| Web hosting | Equipment | 1 | 16000 | 16000 |
| Domain | Equipment | 1 | 5000 | 5000 |
| Data Base(AWS),(S3 Bucket)) | Equipment | 1 | 5000 | 5000 |
| Play Store Deployment | Equipment | 1 | 5000 | 5000 |
| Documentation | Miscellaneous | 1 | 10000 | 10000 |
| Google Map API | Equipment | 1 | 10000 | 10000 |