Full Time job. 28K INR / Month. Python, Selenium READ BEFORE BID -- 3

saw scrapper example from screenshot. THis is doable Here is few of my projects : 1) vue.js based annotation tool for image and NLP tasks.(labelling and tagging through collaborative cloud method)-[login to view URL] 2) Flask based UI for automatic face and id verification 3) Django based interactive visualization tool using [login to view URL] for heat-map analysis 4) Successfully developed Identity Matching from ID-card/ selfie & Resume parsing for Recruiting Firm (Framework : Django). 5) Developed Convolution neural network Compiler in python for Embedded platform 6) Skills : Python , C, Tensorflow, Docker, Scikit-learn, Numpy, Pandas, NLTK, Jupyter notebook, Anaconda Let me know if you want to know about my other projects done as a part of industry experience. I Also provide , Pre-processing on data Data analysis using different plotting libraries in python Feature extraction and engineering Model selection using different ML algorithms Deep learning using tensorflow if you have the pretty amount of data Wrapping up the code in python for user interface and many more! Looking forward to chat with you Regards vaibhav

Hi there, We are ready to work on your project. We have a team of consultant that can join the project and support you. Regards, Mohammad Alaa

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.