Arch Technologies Internship Projects

Made by - MOHAMMAD MUSA ALI

This repository contains four machine learning projects completed during my internship:

1. Real-time Object Detection (YOLO)
2. Facial Emotion Recognition
3. Iris Flower Classification
4. House Price Prediction

🚀 Project 1: Real-time Object Detection with YOLO

Requirements

bash pip install opencv-python numpy How to Run Download YOLO files:

bash wget https://raw.githubusercontent.com/pjreddie/darknet/master/cfg/yolov3.cfg wget https://pjreddie.com/media/files/yolov3.weights wget https://raw.githubusercontent.com/pjreddie/darknet/master/data/coco.names Run detection:

bash python real_time_object_detection.py 😊 Project 2: Facial Emotion Recognition Requirements bash pip install tensorflow opencv-python pandas matplotlib Dataset Setup Download FER-2013 dataset:

python import pandas as pd url = "https://storage.googleapis.com/kaggle-data-sets/1389035/2349265/bundle/archive.zip?X-Goog-Algorithm=GOOG4-RSA-SHA256" pd.read_csv(url).to_csv('fer2013.csv') Download Haar Cascade:

bash wget https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_frontalface_default.xml How to Run bash python train_emotion_classifier.py # Train model (30-50 mins) python emotion_classification.py # Real-time detection

🌸 Project 3: Iris Flower Classification Requirements bash pip install scikit-learn pandas How to Run bash python iris_classification.py Note: Automatically downloads the iris dataset from sklearn

🏠 Project 4: House Price Prediction Requirements bash pip install pandas scikit-learn matplotlib How to Run Add housing.csv to the project folder

Run:

bash python house_price_prediction.py 📂 File Structure text Arch-Technologies/ ├── Object-Detection/ │ ├── real_time_object_detection.py │ ├── yolov3.cfg │ ├── yolov3.weights │ └── coco.names ├── Emotion-Recognition/ │ ├── train_emotion_classifier.py │ ├── emotion_classification.py │ ├── fer2013.csv │ └── haarcascade_frontalface.xml ├── Iris-Classification/ │ └── iris_classification.py ├── House-Prediction/ │ ├── house_price_prediction.py │ └── housing.csv └── README.md ⚠️ Troubleshooting For YOLO:

Error: "weights file not found"

Verify all 3 files exist in the same folder:

yolov3.cfg

yolov3.weights

coco.names

For Emotion Recognition:

FER-2013 download fails:

python pd.read_csv("https://github.com/christianversloot/fer2013-downloader/raw/master/fer2013.csv").to_csv('fer2013.csv') DLL errors on Windows: Install Visual C++ Redistributable

For House Price Prediction:

Dataset not found:

Ensure housing.csv is in the same folder as the script

📜 License MIT License - Free for academic and commercial use