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SARANSH

It's a hardware-based text summarizer project using a Raspberry Pi involves using the popular single-board computer as the foundation for a dedicated device that generates summaries of text documents. This project would require expertise in both software and hardware development, as well as an understanding of NLP and machine learning techniques. The project requires the integration of software, including NLP and machine learning algorithms, with the Raspberry Pi's hardware components to create a system that can process input text and produce a concise summary in real-time. The output of the summarizer can be displayed on an attached screen and convert summaries in voice form. This project convert summaries into native language like hindi. This project is a cost-effective solution for creating a custom hardware-based summarizer, leveraging the versatility and accessibility of the Raspberry Pi platform.

RaspberryPI

for run code in raspberry pi use raspberrypi folder code
Run main.py file to run code

install folowing library in raspberrypi 64 bit os.

· pyttsx3
· PIL
· pytesseract
· deep_translator
· gensim
· cv2
· RPi

Local Machine(Windows)

for run code in Windows use LocalMachineCode folder code
Run main.py file to run code

install folowing library in windows

· pyttsx3
· PIL
· pytesseract
· deep_translator
· transformers
· cv2

About

It is an IOT-based text summarizer project using a Raspberry Pi. It involves NLP and Raspberry Pi to summarize large amounts of text data. The system is designed to save time and effort in reading long texts by providing a summarized version. It provides audio summaries in different languages as well.

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