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Technical Management (OCR) Internship

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Technical Management (OCR)

IIT Bombay

Mumbai

Start Date

Starts immediatelyImmediately

Duration

6 Months

Stipend

₹ 2,000-4,000 /month

APPLY BY

31 Jan' 21

150 applicants

About the internship

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

1. Understanding the requirements in detail and eliciting them from the involved stakeholders
2. Leading the machine learning team and guiding them in the challenges that they are facing
3. Collaborating with the backend development team and ensuring the requirements are implemented correctly and the project is headed on the right track
4. Organizing meetings with all the required stakeholders and discussing the requirements, issues, challenges, updates, and progress relevant to the project
5. Overseeing that the development and testing are done as per industry standards and a proper pipeline is followed to ensure smooth operations of the project
6. Deploying the system on private servers and then handling the server operations
7. Managing the team and overseeing the tasks done by them
8. Recruiting skilled team members as per the needs of the project
9. Co-ordinating with industry experts and taking technical inputs from them in the challenges faced during the project
10. Maintaining the product backlog and software documentation

Note: This is a technical management role where you would be required to lead a backend team working on C++/Python and also to lead the ML team. Technical guidance will be provided by industry experts or professors but the candidate needs to execute the work with the team and manage it efficiently.

Skill(s) required

C++ Programming Django Machine Learning Python Software Testing

Earn certifications in these skills

Learn Python

Learn Voice App Development

Learn Software Testing

Learn Machine Learning

Learn C++ Programming

Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. can start the internship between 12th Jan'21 and 16th Feb'21

3. are available for duration of 6 months

4. have relevant skills and interests

Added requirements

1. Must have done live projects or internships in machine learning and backend development previously

Perks

Certificate Letter of recommendation Flexible work hours 5 days a week

Additional information

We are working on detecting the layout of the OCRed text, preserving it, and reflecting it to automate the annotation task. Optical character recognition (OCR) is the process of converting the document images into an editable electronic format. OCR in Indian languages is quite challenging due to richness in inflections. Using open-source and commercial OCR systems, we have observed the word error rates (WER) of around 20-50% on printed documents in four different Indic languages. Moreover, developing a highly accurate OCR system with an 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 inflections 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.

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, we developed an in-house OCR model for the same. The model can detect text with the maximum level of accuracy and can 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. The demo video for our framework is available here: https://www.youtube.com/watch?v=u9bqUDrGugc. To install the software, you can go to https://github.com/rohitsaluja22/OpenOCRCorrect and follow the instructions given in https://www.youtube.com/watch?v=0hcdlF-zn8E.

Our team 'CLAM' secured 2nd position in the multilingual PostOCR competition at ICDAR'19. Our model achieved the highest corrections of 44% in Finnish, which is significantly higher than the overall topper (8% in Finnish). Our final report for the same can be checked here: https://drive.google.com/file/d/1uuBWu1LQ1QZ49SCgLBoB1er4HpWSzmcx/view. The source code for our framework is available here: https://github.com/rohitsaluja22/OpenOCRCorrect

You can read our paper here:

1. ICDAR 2019: https://www.cse.iitb.ac.in/~rohitsaluja/PID6011473.pdf
2. ICDAR 2017: https://ieeexplore.ieee.org/document/8269944
3. ICDAR-OST 2017: https://ieeexplore.ieee.org/abstract/document/8270254

Number of openings

About IIT Bombay

Website

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 (department of CSE) and professor Ramasubramanian (department 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

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