python-projects

Machine Learning

Computer vision, NLP, and predictive analytics experiments using OpenCV, MediaPipe, and scikit-learn.

Prerequisites

pip install -e ".[ml]"

A webcam is required for the camera-based scripts (brightness_controllor.py, eye_blink.py, camera.py, sketch.py).

Platform note: brightness_controllor.py adjusts screen brightness via screen-brightness-control. This is supported on Windows and Linux only. On macOS the brightness level is printed to stdout instead.

Scripts

Script	Description	Run
`brightness_controllor.py`	Control screen brightness using hand gestures (webcam + MediaPipe)	`python brightness_controllor.py`
`eye_blink.py`	Eye blink detection using Haar cascades	`python eye_blink.py`
`sketch.py`	Convert webcam feed to pencil sketch in real time	`python sketch.py`
`camera.py`	Use phone camera as a PC webcam	`python camera.py`
`lang_dect.py`	Detect the language of input text	`python lang_dect.py`
`sentiments.py`	Sentiment analyser (VADER + TextBlob)	`python sentiments.py`
`spam_dect.py`	Spam message classifier	`python spam_dect.py`
`text_to_speech.py`	Convert text to spoken audio (pyttsx3)	`python text_to_speech.py`
`crypto_prices.py`	Cryptocurrency price prediction (Prophet)	`python crypto_prices.py`
`gold_price.py`	Gold price prediction (Prophet)	`python gold_price.py`

Stopping Camera Scripts

Press q in the OpenCV window to quit cleanly and release the camera.

This site is open source. Improve this page.