I've developed a program/script that detects license plates using contours and YOLOv8. I initially began with YOLOv3 but later transitioned to YOLOv8 for better performance
Github: github.com/Shaileshsaravanan/license-plate-detection
demo:
I've made a pedestrian detection project that utilises haascarcade, opencv, mobilenetssd and predicts pedestrians in videos and draws bounding boxes around them!
github: github.com/Shaileshsaravanan/pedestrian-detection
I made my blot submission for generative art! I have made a illustration of fractal art, specifically gosper curve, with randomised values and parameters!
github: github.com/Shaileshsaravanan/blot
I've made a chrome extension where you can make notes/logs for yourself and they will be stored in a indexeddb. basically a simple note taking/rememberence extension
github: github.com/Shaileshsaravanan/log
I just finished creating a real-time drowsiness detection system using facial landmarks. It monitors eye and mouth movements to detect drowsiness and yawning.
github: github.com/Shaileshsaravanan/drowsiness-detection
I’ve created an Emotion Recognition System with machine learning that detects emotions from real-time video using a webcam. It identifies emotions like Angry, Happy, Sad, and more, displaying the results directly on the video feed.
Check it out on GitHub: Emotion Recognition Repository
I've made a script that tracks your head and eyes and does speech recognition, to improve accessibility on computers.
the cursor can be moved with head tracking, clicks can be done by blinking, and typing is done by speech to text!
note: used github copilot for comments
github: github.com/Shaileshsaravanan/eye-tracking-based-macos-controls
the videos of working are present in the sessions
built a web app that can recognise the number being drawn by the user, with the help of machine learning and flask apis!
took quite some time to perfect the ml model, apart from that pretty fun and interesting project and I've learnt more ml now!
github: github.com/Shaileshsaravanan/handwritten-digit-recognition
note: used github copilot for comments
I've made an extension to hack with cookies! you can do literally anything possible with the cookies of a site.
github link: github.com/Shaileshsaravanan/cookie-editor-extension
note: used github copilot for comments
video:
received the 3d printed parts and completed building the rover, haven't logged the hours for buidling the rover, however it took me around 7-8 hours to build it including sanding, screwing in the parts, wrapping, wiring, testing etc (however it would be great if i could get hours for that), source code and the 3d files for the rover are available in the github link: github.com/Shaileshsaravanan/helios-rover
made a vscode extension named amp, that can transmit what you are currently doing in vscode using websockets to a server, useful for displaying your current real-time activity on your personal website etc,
extension; github.com/Shaileshsaravanan/amp
server: github.com/Shaileshsaravanan/amp-server
completed making my extension!
it is an extension for developers, that helps devs perform basic activities really quick such as api testing, websocket testing and jwt decoding
github.com/Shaileshsaravanan/toggle
made an extension that can help developers make api requests to test any apis instantly without having to write any basic code for it!
ps: to add websockets monitoring soon!
github.com/Shaileshsaravanan/toggle
Using YOLO V5 for object detection to detect plants and drawing an hitbox around them, now I just need to increase accuracy and make it so that it only detects plants and not humans, cups and vases as they wont be present in a farmland lol!
ps: this will be used to detect plants and take pictures of them so that the rover doesnt need to take pictures randomly and it knows when to take a picture i.e when there is a plant in frame
(not using mobilenet anymore as its accuracy was extremely low)Using YOLO V5 for object detection to detect plants and drawing an hitbox around them, now I just need to increase accuracy and make it so that it only detects plants and not humans, cups and vases3d modelled female arm ball for the rover
I have completed background removal of base64 images for using those as the training pictures to increase accuracy for the rover, I have also converted and shifted the number of epochs to the number that suits the model and prediction the best, the percentage increases and when it doesnt detect it much, the accuracy decreases
Github link: github.com/Shaileshsaravanan/helios-rover/commit/97478a26c0799fbf25e4358ae958f9f541cfc741