Video Descriptor
In this time, everybody needs to save their time and put it in an important spot. So, we considered students who are confronting numerous issues, undoubtedly the issue of sitting around looking for material. Students look for a particular subject on you tube or different stages and get a ton of reco
2025-06-28 16:36:36 - Adil Khan
Video Descriptor
Project Area of Specialization Artificial IntelligenceProject SummaryIn this time, everybody needs to save their time and put it in an important spot. So, we considered students who are confronting numerous issues, undoubtedly the issue of sitting around looking for material. Students look for a particular subject on you tube or different stages and get a ton of recordings however they dont know which one is satisfying
their necessities. They experience a significant number of them for getting their one. Some students like slide based videos yet some of them like white board based. We are attempting to take care of this issue. People worked on these issues yet more than a voice to message converter nothing showed up.
- Create a central idea of video
- Categorization and describe the environment
1) Create a central idea of the video:
- Extract audio From Video
- Extract text from audio and then summarize it
- Give a central idea to the video
2) Categorization and describe the environment.
- Extract frames from videos
- Collect different data sets of images
- Train them through Machine Learning
- Testing
- Result
Our framework gives a solid advantage to scholarly industries.It saves time for students and gives a change in whole. It gives more subtleties to recordings and innovation looks smarter.This application is additionally appropriate for student’s general public.For that application they can locate their destitute information in brief timeframe. Which save their time and gave them a keen and fast strategy to move toward their willing information.
Technical Details of Final DeliverableThe extent of our task is to plan a framework that encourages
the students to locate that material which is as per their need in the briefest time. To accomplish this objective we plan a framework wherein videos are arranged in a few categories
through Machine Learning. This frame work permits students to effortlessly discover their satisfaction needs. Our system will work on Teaching/Lecture videos. Framework utilizes a
voice to message converter at that point produces a document. From that text document our framework changed into its central idea by utilizing NLP (Natural Language Processing) and portraying the video climate utilizing Machine Learning. The restrictions of the framework are
that it isnt for all kind of videos and not for all languages. This is for lectures videos and will be based on English language as it were. It did not work on the content converter itself.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 70000 | |||
| Leptop | Equipment | 2 | 35000 | 70000 |