TimeStamp

Video Scene Seeker

Delhi

2 Likes

40 Views

Project Info

Message Team

Technologies Used

JavaScript
AWS
AWS Rekognition
AWS S3
AWS Amplify
AWS Transcribe

Project Team

ViPuL

Developer

Aashish Kumar

Developer

Abhigyan Khaund

khaundabhigyn

b16026

mittalsylvia23

This team is looking for

Product Manager Investor

REQUEST TO JOIN

About

Uses Deep Learning and NLP to predict locations of the scene in a video as per user tags and load seeked videos at correct time. Uses AWS Amplify and other AWS Services. For eg. generate particular sports match highlights, curated content from educational lectures, movie scene reviews for professionals, major events in lengthy CCTV footages, particular step in tutorial videos and many more

Comments

Bibin - 1489d

Lacks originality. Market approach to individual users not right. B2C approach will not be able to scale. some learning from Videocane or Vidyard should be done. a B2B product and model will help

Arnav Gupta - 1489d

Think in B2B form rather than B2C form. Lot of opportunities for niche video platforms. Check out VideoKen (probably you can beat them ? )

Niyam Bhushan - 1489d

Valossa app does this. There are ready-made Video AI platforms doing this. B2b product. It is not different from most of the tools there.

Sairee Chahal - 1489d

GTM needs clarity. It is a good potential use case for video data analytics if developed further

Prerit Gautam - 1489d

Need more thoughts into the business model and need of the product for specific target segment

Kiran Chhabra - 1489d

good work

Harsha Kakkeri - 1489d

Good concept and can be used in any video channel. Good luck