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Python
Android
IEEE 2026
ID: 1CP0450
Accessibility and safety Through Drug Images Classification Models using Yolov5 and Flask Frame work
Keywords:
Drug
Image
Classification,
YOLOv5,
Flask,
Python,
Medication
Safety,
Computer
Vision,
Object
Detection,
Healthcare
Technology,
AI,
Web
Application.
Project Synopsis & Overview
This project uses YOLOv5 and Flask to classify drug images, enhancing accessibility and safety by helping users accurately identify medications through an easy web interface.
Complete Technical Specifications
| Project ID | 1CP0450 (DB ID: 450) |
| Project Title | Accessibility and safety Through Drug Images Classification Models using Yolov5 and Flask Frame work |
| Domain Division | Python |
| Sub-Domain / Tech | Android |
| IEEE Year | IEEE 2026 |
| Package Price | ₹6500 |
| Created Date | Aug 22, 2026 |
Project Price
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