Backend Web Development & Machine Learning Internship in Mumbai at IIT Bombay
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Backend Web Development & Machine Learning
Start Date
20 Nov - 10 Dec' 19
Duration
6 Months
Stipend
3000-5000 /month
Apply By
27 Sep' 19
Internship
Internship
About IIT Bombay
The Indian Institute of Technology, Bombay (IITB) is one of the fifteen higher institutes of technology in the country set up with the objective of making facilities available for higher education, research, and training in various fields of science and technology. With the same mission and vision, Prof. Ganesh Ramakrishnan is gearing to take rural India a leap ahead. For his outstanding contributions, he has also been awarded the IBM Faculty Award 2011.
About the internship
Selected intern's day-to-day responsibilities include:

1. Work on REST APIs
2. Data cleaning, pre-processing and text parsing
3. Implementation of model for classification and clustering
4. Engage in server handling and website hosting
5. Write well designed, testable, efficient code by using best software development practices
6. Create a website layout/user interface by using standard HTML/CSS practices
7. Integrate data from various back-end services and databases
8. Gather and refine specifications and requirements based on technical needs
9. Create and maintain software documentation
10. Maintain, expand, and scale our website
11. Stay plugged into emerging technologies/industry trends and applying them to operations and activities
Skill(s) required
Python Django Machine Learning REST API Database Management System (DBMS)
Learn these skills on Internshala Trainings
Who can apply

Only those candidates can apply who:

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

2. can start the internship between 20th Nov'19 and 10th Dec'19

3. are available for duration of 6 months

4. have relevant skills and interests

Perks
Certificate Letter of recommendation Flexible work hours Informal dress code 5 days a week
Additional Information

Project Description: Venter - Intelligent Complaint Management and Response Categorization System Many civic problems fail to reach resolution because of barriers to submitting a complaint or knowing the right person to contact. As a solution to such problems, Venter is intelligent complaint management and response categorization system being developed at IIT Bombay, in collaboration with Microsoft Research. Venter is currently working with: 1. ICMC (I Change My City) which is an online complaint redressal system, where complaints posted on their website are routed to MCGM 2. SpeakUp, which is an application used to voice the complaints faced by users from corporate firms and supply chains 3. CIVIS, a non-governmental organization, that enables citizen's citizens to share their feedback on laws and policy decisions The machine learning model of Venter has the following parts: For ICMC: 1. Automate the complaint mapping process 2. Venter automates the categorization of complaints posted on ICMC when routed to MCGM, reducing the error in manual mapping For SpeakUp: 1. Building an automatic classifier for the complaints 2. Venter classification based on the complaint data of the various issues that are recorded which will be used to segregate the data of issues under several taxonomy heads 3. Data analysis and cleanup of complaints For CIVIS: 1. Large volumes of citizen's text feedback are classified and categorized 2. Venter provides a visualization dashboard useful for Government authorities looking to get a quick overview of public feedback Please find the details here - https://drive.google.com/open?id=1Y__i85jAB9X_8wV-W9B_Z1dbzvKfdMR0

Number of openings
1

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