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In the recent times there have been a surge in the amount of lecture videos being recorded by the universities with the pandemic being one of the driving forces. These lecture videos enable the students to use the videos whenever they want to study a particular topic. Since the lecture videos are lengthy, students face difficulty going through the videos during when they lack time or want to make a quick revision. This project aims to summarize the lecture videos’ content to save time for the user. This helps the students with their quick revision during exams, find particular subtopics of interest in the video and save ample time.
8 freelances font une offre moyenne de 9000 ₹ pour ce travail
Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I hav Plus
Hello, I am an AI researcher with 3 years experience in deep learning field. My major fields are deep image processing, deep natural language processing, GAN and reinforcement learning. My experiences are image class Plus
HELLO DEAR CLIENT I have gone through your project details and the work is DOABLE since its within my area of EXPERTISE.I will tackle are required guideline to deliver desired goal Please consider my bid. THANKS
I am a machine learning engineer having 5+ year of experience. My skills-- Machine learning,deep learning,image processing,Open CV, kaggle project, python, R, data analysis, software development. Deploy ml models to Plus
Hello Recruiter, I’ve carefully checked your project " WEBSITE DEVELOPMENT and really interested in this job. I have better skill in Web developing. I am hard working and positive attitude man. I work with focus and Plus
I am an experienced IT professional and a Data Science practitioner. Your job caught my eye and looks to be quite interesting to me as I have developed various algorithms such as TF-IDF, Word2Vec, BERT etc. in NLP for Plus
Hi. I am a data scientist. I am very familiar to Deep learning apis such as Tensorflow and fastai, mxnet. I have a good hands on working with Advanced R and Python and BI tools and technologies, AI, Big Data. I have qu Plus