About the program

Feluda allows researchers factcheckers and journalists to explore and analyze large quantity of multimeda content One important modality on Indian social media is video The scope of this task is to explore various automated techniques suited for this task and after consultation with the team implement an end to end workflow that can be used to surface visual or temporal trends in a large collection of videos Goals Review Literature with our team and do research and prototyping to review state of the art ML and classical DSP techniques Optimize the solution for consistent RAM and CPU usage limit the spikes caused by variables like file size video length etc since it will need to scale up for million videos Integrate the solution into Feluda by creating a operator that adheres to Feluda operators interface Expected Outcome Feludas goal is to provide a simple CLI or scriptable interface for Analysing multimodal social media data In that vein all the work that you do should be executable and configurable via scripts and config files The solution should look at feludas architecture and its various components to identify best ways to enable this The solution should have a way to configure data source database with file IDs or a S3 bucket with files specify and implement the data processing pipeline and where the result will be stored Our current implementation uses S3 and SQL database for data source and Elasticsearch for storing result but additional sources or stores can be added if apt for this project Acceptance Criteria Regular Interactive Demos with the team using a public jupyter notebook pushed to our experiments repository Working feluda operator with tests that can be run as an independent worker in the cloud to schedule processing jobs over a large dataset Output Structured data that can be passed onto a UI service web or mobile for downstream use cases

Perks

1. Lucrative stipend of INR 1 lakh over a period of 3 months 2. Dedicated 11 mentorship by industry experts 3. Handson experience to hone your skills 4. Access to bootcamps and expert sessions 5. Potential job extended internship opportunities 6. Opportunity to network with global opensource tech leaders

Who can apply?

Only those candidates can apply who:

1. are from Any,
2. and specialisation from Any,
3. are available for duration of 3 Months
4. have relevant skills and interests

Terms of Engagement

1. 50,000 received on completion of midpoint milestone as decided with mentor 2. 50,000 received on completion of final milestone as decided with mentor 3. Certificate of completion received on successful completion of internship

Number of openings

1