YOLOv8 Model Conversion for Pi Detection -- 3

Hi, I am experienced in model conversions in different formats. I also have hands on experience in building production ready models for Raspberry Pi. Feel free to reach me on chat to initiate the project at the earliest.

With my 5 plus years of experience in the ML field, I bring aboard a profound proficiency in TensorFlow Lite and a deep understanding of YOLOv8 models, which makes me an excellent fit for your project to convert the YOLOv8 model from keras-cv format into the latest version of TensorFlow Lite. My familiarity with Raspberry Pi will also ensure that the real-time object detection capabilities that are crucial to your model will be maintained post-conversion. Over the course of my career, I have capably handled several challenging projects like yours. One major aspect where my skills stand out is in effectively communicating and integrating business needs into the ML pipeline, having transitioned from an ML engineer to a leadership role in charge of ML-to-MLOps. Not only can I proficiently convert and deploy ML models, but I am also adept at understanding and incorporating business intricacies - a skill that's often undervalued but vital for successful implementation of ML solutions. Lastly, testimonials from my clients serve as proof of my competence emanating from satisfied projects where my skills in developing and deploying ML products have been instrumental. Working with me means ensuring technical finesse along with holistic problem-solving — making me not just technically viable but also considerate towards your overall objectives.

I am theekshana, a designer by passion, an engineer by profession. Being an all-round artistic tech-savvy geek, I spend most of my time nourishing new design ideas and giving them a tangible shape. Playing around with IoT modules and creating some useful projects out of them is another niche of mine, which seems most congenial to me and which I relish doing a lot. and also I'm an expert Machine Learning Engineer & proficient in modeling and training the deep neural networks using python libraries. I will assist you in your (Non-Academic/Academic) IoT projects involving ESP8266, ESP32, Arduino, Raspberry Pi, and MQTT and Machine learning and image processing following tools Tools: Tensorflow Keras Pytorch My services include: Modeling the neural network Training the neural network Fine Tuning Transfer Learning IOT related hardware and software Applications: Spam Detection Chats Sentiment Analysis Hate Speech Detection Text Emotions Detection Image Classification Image Segmentation Object detection Object Tracking