Chetan Gudditi's repositories
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.
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.
Bharat-Internship
House Price PredictionMachine Learning model to predict house price using linear regression only Wine Quality Prediction Machine Learning model to predict the quality of wine using linear regressio Iris Flowers Classification Predict the different species of flowers on the length of there petals and sepals
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.
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.
Hotshot-XL
✨ Hotshot-XL: State-of-the-art AI text-to-GIF model trained to work alongside Stable Diffusion XL