Object Detection On Raspberry Pi using Tensorflow

I am a Machine Learning, Python developer and have professional skills in this Artificial Intelligence, Data Mining,Face detecting , Data Science with working experience of 4 years in it. Also i hold a degree in computer science and have specialization in Artificial intelligence, Machine learning. I am also working to be more of a Full-Stack developer, so that means I have more experience than indicated by just my Python background. I enjoy working with passionate people who know what it is they need and where they are headed. I've worked with individual people and with organizations in teams of 3+ people from all over the world. Kindly reply me soon so we can discuss more about this. Thank you

we are a team of persons sharing a lot of knowledge in artificial intelligence field. we are experts at machine learning, deep learning, artificial intelligence and computer vision, we work on many environments and different libraries such as NumPy, TensorFlow, pandas, SKlearn, openCV, graphlab and matplotlib. we are experts in applying machine learning algorithms and optimizing it such as regression, classification, clustering, reinforcement learning and deep learning. we are experts in python, C, C++ and C# . we are experts in visualizing data to be seen by the client in a simple way.

First:- Chatbot --> This can be integrated by any Facebook page, Slack etc. Its main aim is to reduce the human effort. For example, if this Chatbot is integrated with company page so it can easily answer you some basic questions about the company. Second:- Word Predictor --> This will be integrated with my Chatbot and it's an algorithm is such that it will learn according to previous input given and then It will suggest the next question and next word accordingly. Third:- Comment Checker --> This has a huge set of words inbuilt with its degree and level and it will analyze each comment and according to that it can give the report or if any inappropriate comment is taken it can forward to the authority. Speech Recognisation Train the database using deep learning, doing language model and lexical model for Arabic , adding functions to increase different types of noise at different levels as the picture shows. Then we notice the results.

hello their i am sanjiv sharma i an engineer and studying machine learning and i have worked on the my final year project on python and machine learning

I am familiar with OpenCV and tensorflow. I have completed many IoT projects including some involving Raspberry Pi.

Hi, I've experience in this area. Also, if the performance of rpi is not enough, I'm familiar with other more powerful arm processor based boards. If you would share the details, I can test it confirm even before starting. Thanks.

Tensorflow GPU cannot run on raspberry pi.. it does not support arm architecture.. only x86 and Nvidia's Turing and other architecture that has cuda cores. I can make this thing happen.