Job Description

About IIT Bombay

The Indian Institute of Technology, Bombay (IITB) is one of the fifteen higher institutes of technology in the country, set up intending to make facilities available for higher education, research, and training in various fields of science and technology. Professor Ganesh Ramakrishnan (Dept. of CSE) and professor Ramasubramanian (dept. of humanities and social sciences) are attempting to significantly speed up the process of digitization of Sanskrit texts. Enabled by the OCR and post-editing related technologies developed at IIT Bombay, they are now seeking the participation of the community of Sanskrit lovers, software developers, machine learning enthusiasts, project managers, etc.

Activity on Internshala

Hiring since December 2013

328 opportunities posted

90 candidates hired

About the work from home job/internship

Selected intern's day-to-day responsibilities include:

1. Maintaining documentation & presentation and drafting project proposals & reports, as and when needed
2. Developing and maintaining project deliverables under the direction of the senior project manager
3. Assisting in handling back-office work for software project management (accounts, HR, drafting, communication, filling and data management)
4. Assisting in complete end-to-end recruitment and helping in other activities for the same
5. Coordinating with the team members, the senior project manager and the clients to ensure deliveries and task management
6. Gathering and refining specifications and requirements based on technical needs and conveying them further to the development team
7. Creating and maintaining software documentation for the work
8. Staying plugged into emerging technologies/industry trends and applying them to operations & activities
9. Performing software and tool testing shared by IIT-B
10. Working on the pipeline of OCR text correction (converting scanned text to digital text with manual correction of OCRed text)
11. Carrying out exhaustive research on a given topic and seeing how it fits in our project

Skill(s) required

English Proficiency (Spoken) English Proficiency (Written) Hindi Proficiency (Spoken) Hindi Proficiency (Written)

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Who can apply

Only those candidates can apply who:

1. are available for the work from home job/internship

2. can start the work from home job/internship between 9th Sep'22 and 14th Oct'22

3. are available for duration of 6 months

4. have relevant skills and interests

Perks

Certificate Letter of recommendation Flexible work hours 5 days a week

Additional Information

This is a work-from-home internship, preferably for 2020-2021 graduates which deal with people management, data management and timeline management. Please note that this role doesn't involve software programming but only software installation and troubleshooting in case a user faces a problem in using the software.

Optical Character Recognition (OCR) is the process of converting document images into an editable electronic format. This has many advantages like data compression, enabling search or edit options in the images/text, and creating the database for other applications like machine translation, speech recognition, and enhancing dictionaries and language models. OCR in Indian languages is quite challenging due to the richness in inflexions.

Using open-source and commercial OCR systems, we have observed word error rates (WER) of around 20-50% on printed documents in four different Indic languages. Moreover, developing a highly accurate OCR system with accuracy as high as 90% is not useful unless aided by the mechanism to identify errors. So, we started with the problem of developing 'OpenOCRCorrect', an end-to-end framework for error detection and corrections in Indic-OCR. Our models outperform state-of-the-art results in 'Error Detection in Indic-OCR' for six Indic languages with varied inflexions and we have solved the out-of-vocabulary problem for 'Error Correction in Indic-OCR' in our ICDAR-2017 conference paper. We further improve the results with the help of sub-word embeddings in our ICDAR-2019 conference paper. The demo video for our framework is at https://youtu.be/u9bqUDrGugc (a must-watch for applying candidates)

There is an immediate demand to keep the softcopy of the Indian preserved texts. Currently, we are targeting Sanskrit. Although the OCR tools available online do a decent job on English texts, they are not optimized for Indic languages. Thus, developing an OCR model for the same is our concern. The model should be able to detect text with maximum level accuracy and should be able to draw bounding boxes on each line of the text. Further, in the digitization process of such texts, the second step would be spelling correction and formatting of the text detected by the OCR models.