Pinned Repositories
AI-Assistant
Running an LLM on Linux
ChromeAiAssistant
An assistant Chrome Assistant for Humans to make their life simpler. Corrects Grammar/Spelling and Helps Compose Mails
ESP32_BLE_Arduino
The library source for the ESP32 BLE support for Arduino.
FirmwareForge
MyWorks
nRF52-Bluetooth-Course
alcodex_NRF52
rajeevkr945
Config files for my GitHub profile.
Real-time-Vernacular-Sign-Language-Recognition-using-MediaPipe-and-Machine-Learning
The deaf-mute community have undeniable communication problems in their daily life. Recent developments in artificial intelligence tear down this communication barrier. The main purpose of this paper is to demonstrate a methodology that simplified Sign Language Recognition using MediaPipe’s open-source framework and machine learning algorithm. The predictive model is lightweight and adaptable to smart devices. Multiple sign language datasets such as American, Indian, Italian and Turkey are used for training purpose to analyze the capability of the framework. With an average accuracy of 99%, the proposed model is efficient, precise and robust. Real-time accurate detection using Support Vector Machine (SVM) algorithm without any wearable sensors makes use of this technology more comfortable and easy.
zephyr
Primary Git Repository for the Zephyr Project. Zephyr is a new generation, scalable, optimized, secure RTOS for multiple hardware architectures.
rpi-ws281x-python
Python library wrapping for the rpi-ws281x library
rajeevkr945's Repositories
rajeevkr945/AI-Assistant
Running an LLM on Linux
rajeevkr945/ChromeAiAssistant
An assistant Chrome Assistant for Humans to make their life simpler. Corrects Grammar/Spelling and Helps Compose Mails
rajeevkr945/ESP32_BLE_Arduino
The library source for the ESP32 BLE support for Arduino.
rajeevkr945/FirmwareForge
MyWorks
rajeevkr945/nRF52-Bluetooth-Course
alcodex_NRF52
rajeevkr945/rajeevkr945
Config files for my GitHub profile.
rajeevkr945/Real-time-Vernacular-Sign-Language-Recognition-using-MediaPipe-and-Machine-Learning
The deaf-mute community have undeniable communication problems in their daily life. Recent developments in artificial intelligence tear down this communication barrier. The main purpose of this paper is to demonstrate a methodology that simplified Sign Language Recognition using MediaPipe’s open-source framework and machine learning algorithm. The predictive model is lightweight and adaptable to smart devices. Multiple sign language datasets such as American, Indian, Italian and Turkey are used for training purpose to analyze the capability of the framework. With an average accuracy of 99%, the proposed model is efficient, precise and robust. Real-time accurate detection using Support Vector Machine (SVM) algorithm without any wearable sensors makes use of this technology more comfortable and easy.
rajeevkr945/zephyr
Primary Git Repository for the Zephyr Project. Zephyr is a new generation, scalable, optimized, secure RTOS for multiple hardware architectures.