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alzheimers-detection

By using deep learning models like Xception to analyze medical imaging data, we may be able to identify early signs of Alzheimer's disease before symptoms become severe. This can help healthcare providers to provide early treatment and support for patients and their families, ultimately leading to better outcomes for all involved.

brain-tumor-detection-

Used CNN architecture and pre trained weights of VGG16 to detect brain tumor from Images.

data-analysis-and-machine-learning-on-datasets-using-python

Data analysis using python by exploring and processing diverse datasets followed by data visualization. Linear regression, Multilinear regressions used for predictive modeling and outlier detection for identifying and handling data inconsistencies to improve model accuracy and reliability.

drowsiness-detection

The YOLO(YOU ONLY LOOK ONCE) model leverages deep CNNs for real-time driver fatigue detection. By analyzing in-car camera footage, it provides instant alerts to the driver when signs of drowsiness are detected, thereby enhancing road safety significantly.

google-translator

Used tkinter to create a virtual box for translation of languages.

hand-tracking

Used opencv2 , mediapipe to first create a hand tracking module and used this custom module to create more hand detection such as Virtual Mouse, Volume Control etc.

house-price-prediction

House Price Prediction is a Machine Learning model to predict house price using linear regression

iris-flower-classification

Iris Flowers Classification Predict the different species of flowers on the length of there petals and sepals using Linear regression

portfolio

qr-code

Used ControlNetModel, StableDiffusionControlNetPipeline to create a QR Code generator for any given link.

text-to-video

wine-quality-prediction

Wine Quality Prediction Machine Learning model to predict the quality of wine using linear regression