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sumitcoder1's Projects

acva--a-cross-platform-voice-assistant icon acva--a-cross-platform-voice-assistant

Designed and developed an interface for the dataset collection phase to collect voice samples from users using ffmpeg and PyQt GUI. Built a speech to text conversion model using Bi-Directional LSTM with Attention in Tensorflow and Keras. Developed a cross-platform user interface using PyQt GUI that allows users to interact with the voice assistant. The commands spoken out by the user is executed in the background using the Python OS and sys package.

audio-record icon audio-record

Python Application which records and displays raw audio data

autosub icon autosub

AutoSub is a CLI application to generate subtitle file (.srt) for any video file using Mozilla DeepSpeech

bluesky icon bluesky

The open source air traffic simulator

crowd-analysis icon crowd-analysis

System integrated with YOLOv4 and Deep SORT for real-time crowd monitoring, then perform crowd analysis. The system is able to monitor for abnormal crowd activity, social distance violation and restricted entry. The other part of the system can then process crowd movement data into optical flow, heatmap and energy graph.

deep-learning-drizzle icon deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

delbot icon delbot

It understands your voice commands, searches news and knowledge sources, and summarizes and reads out content to you.

emoch icon emoch

Emotion Analysis from Speech AI in Python using mfcc, mel, chroma

facenet-face-recognition icon facenet-face-recognition

A face recognition demo performed by feeding images of faces recorded by a webcam into a trained FaceNet network to determine the identity of the face

health-care-chat-bot icon health-care-chat-bot

Through chatbots one can communicate with text or voice interface and get reply through artificial intelligence. Typically, a chat bot will communicate with a real person. Chat bots are used in applications such as ecommerce customer service, call centres and Internet gaming. Chatbots are programs built to automatically engage with received messages. Chatbots can be programmed to respond the same way each time, to respond differently to messages containing certain keywords and even to use machine learning to adapt their responses to fit the situation. A developing number of hospitals, nursing homes, and even private centres, presently utilize online Chatbots for human services on their sites. These bots connect with potential patients visiting the site, helping them discover specialists, booking their appointments, and getting them access to the correct treatment. In any case, the utilization of artificial intelligence in an industry where individuals’ lives could be in question, still starts misgivings in individuals. It brings up issues about whether the task mentioned above ought to be assigned to human staff. This healthcare chatbot system will help hospitals to provide healthcare support online 24 x 7, it answers deep as well as general questions. It also helps to generate leads and automatically delivers the information of leads to sales. By asking the questions in series it helps patients by guiding what exactly he/she is looking for.

kaldi-active-grammar icon kaldi-active-grammar

Python Kaldi speech recognition with grammars that can be set active/inactive dynamically at decode-time

lia_ral icon lia_ral

A high-level toolkit for speaker recognition, build on top of ALIZE-Core.

multitasker icon multitasker

Multitasker is a machine learning project based on python that implements Photo Ocr, Photos to Pdf converter, Text to speech converter and Speech to text converter

neon icon neon

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

norman icon norman

Personal Assistant powered by NodeJS

pygarl icon pygarl

pyGARL - Python Gesture Analysis and Recognition Library

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