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A cab booking service app for the visually impaired.
📷 Deployed image captioning ML model using Flask and access via Flutter app
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Deployment of ML model using flask
Indian license plate detection and character extraction using deep learning and raspberry pi.
Detects license plate of car and recognizes its characters
Image Captioning Web Application with PyTorch and Flask - Implementation of "Show and Tell: A Neural Image Caption Generator"
With the help of this project, machine can generate its own captions related to the image. The model uses Flickr dataset for training data and uses LSTM for training.
In this project, I have created a neural network architecture to automatically generate captions from images. After using the Microsoft Common Objects in COntext (MS COCO) dataset to train my netwo…
Mobilenet features and LSTMs for Image Captioning - Using TF and TF-HUB
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
TensorFlow Implementation of "Show, Attend and Tell"
This device is a guidance system for blind and partially sighted people. The system will detect any objects, yellow footway and can convert any printed text into speech. And GPS module is construct…
An application for visually impaired people helping them get around the city with text-to-speech
A computer vision Android app which detects objects in the user's surroundings through Android's rear camera and conveys the information about the objects through text-to-speech to the visually imp…
This is the code for "YOLO Object Detection" by Siraj Raval on Youtube
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
MSVC's implementation of the C++ Standard Library.
The fundamental package for scientific computing with Python.
All pull requests will be accepted. Let's see where it goes!