This repository contains the Machine Learning Project on Object Detection, developed during my internship at ASP-InfoTech Pvt. Ltd, Durgapur, West Bengal.

The project was a group project, carried out under the guidance of Mr. Harishankar Chatterjee.

Object Detection is a critical application of Computer Vision and Machine Learning, widely used in:

🛡️ Security & Surveillance

🚗 Autonomous Vehicles

🏭 Industrial Automation

📱 Smart Applications

Key project highlights:

📸 Preprocessed image datasets for training and testing

🧠 Implemented ML & DL-based object detection models

📦 Used Python libraries for feature extraction and prediction

📊 Evaluated model accuracy and detection performance

🔎 Visualized bounding boxes and labels on detected objects

1. Data Collection & Preprocessing

   • Curated and cleaned datasets

   • Resized and augmented images for training

2. Model Development

   • Implemented CNN-based detection models

   • Integrated OpenCV for real-time detection

3. Evaluation & Results

   • Calculated precision, recall, and accuracy

   • Visualized object detection using bounding boxes

(Add example detection images here with bounding boxes & labels)

1. Clone the repository:

git clone https://github.com/your-username/object-detection-ml.git

2. Install dependencies:

pip install -r requirements.txt

3. Run the script:

python detect.py

📌 Role: Leader

👥 Team Size: 3 Members

Lead:

Team:

✅ Contributed to model development and testing

✅ Assisted in dataset preparation and visualization

✅ Collaborated on debugging and optimizing detection accuracy

This project was carried out during my Machine Learning Internship at ASP-InfoTech Pvt. Ltd., Durgapur, West Bengal, under the guidance of Mr. Harishankar Chatterjee.

Grateful to ASP-InfoTech Pvt. Ltd. and mentor Mr. Harishankar Chatterjee for their guidance and support throughout the project.