yash-rathore Goto Github PK
Name: Yashwardhan Rathore
Type: User
Name: Yashwardhan Rathore
Type: User
popular technique used in path-finding and graph traversals. Visualised using pygames and nodes created by clicking on cells. Space key will start visualiser and code will find the optimal path and retrace itself too. screenshots available
AI workout trainer prototype , which uses pose detection and detects landmarks on body to count number of curls and whether the curls were done with a 100 percent intensity using the progress bar . Opencv and Body pose estimation library used to detect user pose
AirPaint1.0 OpenCV Python .
mediapipe library used along with Opencv pyhton and numpy to get handtracking and then draw and select colors according to user pose. screenshots available
Use chat.openai.com to turn this PDF document into a formatted, easy to read book in markdown file. Bonus points if you can preserve diagrams
Tensorflow and Keras used along with OpneCV and MNIST dataset used to recognise the image drawn on blank canvas using ML. Acquired 97.3% accuracy for the model screenshots available
Multi-view drone tracking datasets
AI Finger Counter using opencv , which uses hand detection to find number of fingers help up and displays an image corresponding to it.
NLP text prediction script that uses neural network approach for autocompletion rather than traditional n-gram Hidden Markov Model approach.
Models Supported: UNet, UNet-Ensembled, UNet+, UNet++, MultiResUNet (with Deep Supervision, Guided Attention, and Autoencoder modes for 1D or 2D).
Virtual mouse for the user , the user can move the mouse pointer using his hand . The project uses hand detection to detect landmarks and move the mouse simultaneously. screenshots available
Webapp which provides temperature of the location entered by the user in realtime . Uses openweather API along with python and tkinter GUI library to achieve this.
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