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https://github.com/projects-developer/drug-detection-system-using-machine-learning

This innovative system leverages machine learning algorithms to detect and identify drugs with high accuracy. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
https://github.com/projects-developer/drug-detection-system-using-machine-learning

btechproject chemicalanalysis chemicalanalysisusingml computerscienceproject drugdetection illicitdrugs machinelearning molecularstructure molecularstructureprediction mtechproject

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This innovative system leverages machine learning algorithms to detect and identify drugs with high accuracy. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

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README

        

# DRUG DETECTION SYSTEM USING MACHINELEARNING

DRUG DETECTION SYSTEM USING MACHINE LEARNING CODE, DOCUMENT AND VIDEO TUTORIAL

![Drug Prediction](https://github.com/user-attachments/assets/dc92dbc0-e970-4505-9837-5faf8aada439)

## Youtube link: https://youtu.be/LbGl6mffhpE?si=OHKTpdZuJABYfec2

## Abstract:
The detection and identification of illicit drugs pose significant challenges for law enforcement, medical professionals, and researchers. This study proposes a novel drug detection system leveraging machine learning algorithms to analyze chemical compositions, molecular structures, and other relevant data. Our system achieves high accuracy in detecting unknown substances, identifying illicit drugs, and distinguishing them from legitimate medications. With real-time data analysis, continuous learning, and model updates, this system offers a robust and reliable solution for various applications, including law enforcement, healthcare, and pharmaceutical research.

Keywords: Drug Detection, Machine Learning, Chemical Analysis, Molecular Structure, Illicit Drugs, Pharmaceutical Research

### Project include:

1. Synopsis

2. PPT

3. Research Paper

4. Code

5. Explanation video

6. Documents

7. Report

### Need Code, Documents & Explanation video ?

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