Welcome to my 30 Days of AI/ML Practice Challenge repository! This is a collection of 30 Python projects I completed as part of a self-imposed challenge to strengthen my skills in AI and Machine Learning. Each project is unique, focusing on practical implementation to tackle diverse problems while sharpening coding and problem-solving skills. Dive in and explore!
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Car-Price-Prediction: π Predict car prices using regression models.
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Character-Recognition: βοΈ Recognize handwritten characters using deep learning.
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Crowd-Counting: π₯ Estimate crowd sizes in images or videos.
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Diabetes-prediction: π©Ί Predict diabetes risk using patient data.
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Drowsiness-detection: π΄ Detect driver drowsiness using real-time video.
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Emotion-Recognition: π Identify emotions from facial expressions.
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Energy-Consumption-Forecasting: β‘ Forecast energy usage with time-series data.
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Face-Recognition: π§βπ¦° Recognize faces using biometric identification.
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Face-detection: π€ Detect human faces in images or videos.
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Hand-Gesture-Recognition: ποΈ Classify hand gestures for interactive systems.
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Hand-Tracking: β Track hand movements using computer vision.
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Heart-Disease-Detection: β€οΈ Predict heart disease risks with health data.
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Image-denoising: πΌοΈ Remove noise from images for clearer visuals.
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Label-Reading: π·οΈ Extract text labels from images with OCR.
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LicensePlate-Recognition: π Recognize license plates from vehicle images.
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Moving-object-detection: π₯ Identify moving objects in video streams.
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Object-Recognition: π¦ Detect and classify objects in images.
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Object-Tracking: π― Track objects in video with real-time algorithms.
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Real-Time-Color-Detection: π¨ Identify colors in real-time video streams.
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Road-Sign-detection: π¦ Detect and classify road signs for smart systems.
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Rock-vs-Mine-Prediction: πͺ¨ Classify sonar signals as rock or mine.
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Sentiment-Analysis: π¬ Analyze sentiment in text data (positive/negative).
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Snake-Game: π Classic snake game built with reinforcement learning.
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Span-news-detection-system: π° Detect fake news using NLP models.
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Stock-Market-Prediction: π Predict stock trends with financial datasets.
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Tag-Identification: π Identify relevant tags for given content.
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Titanic-Survival-Prediction: π’ Predict Titanic survival based on passenger data.
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Vehicle-Tracking: π Monitor and track vehicles in traffic videos.
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Weather Prediction: π¦οΈ Forecast weather conditions using historical data.
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Leaf-disease-detection: πΏ Detect diseases in plant leaves with image processing.