Praneet9/Representation-Learning-for-Information-Extraction

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Created about 4 years ago
Updated almost 2 years ago

Praneet9/Representation-Learning-for-Information-Extraction

Praneet9

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Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.

Docify

A service for extracting text from ID cards in India, like Aadhar Card, PAN Card and Driving Licence. You just need to click and send a picture of the card to the API and get a json with your details. It was built using Flask, Deep Learning and Image Processing. It also uses Connectionist Text Proposal Network (Open Source) along with Tesseract for text extraction.

Jupyter Notebook

Visualising-LSTM-Activations

Visualising what each LSTM cell learns from data.

Jupyter Notebook

SegFormer_Segmentation

Semantic Segmentation with SegFormer on Drone Dataset.

Jupyter Notebook

Skin_Disease

This project was developed during 24hr Hackathon - Unscript 2k19. It is a service as telegram bot that takes infected skin image as input and predicts the skin disease.

Jupyter Notebook

Weapon_Detection

A barebone model built for detecting weapons in an image. It was built using YOLOv2 (You Only Look Once Algo version2). The model is built upon Darknet YOLO but is also ported on Tensorflow Lite, Protobuf file and also in YAD2K (Keras port of YOLO).

Jupyter Notebook

Smart_Editor

A web app to convert handwritten forms to digital forms. Initially you are supposed to upload a template of your form that isn't filled. If the templates of your form is already available, you just need to upload your handwritten form and it will be converted to digital text.

Jupyter Notebook

BlogApp

A blog web-app to post blog posts built using Flask as well as Django.

Plant_Monitor

A deep learning based system for disorder detection in tomato plants. Also used IoT to get sensor data from the plants. Two seperate models were trained for this project. One dealt with Images and other with Sensor Data. You can use both to predict the Disorder of Tomato Plants.

Jupyter Notebook

Automation_DBIT

Voices_of_Mumbai

A service for people to report the potholes in their area. It is a telegram service bot wherein you can report the image and location of the pothole. The complaint will be lodged. The admin also gets the severity of the pothole and can act accordingly. It was built using Telegram Bot Api, Flask and Deep Learning

Jupyter Notebook