Final year B.E Project
Visualized a text data collected from a debate video on the topic "Gun Violence in the USA" using D3.js, AWS transcribe, Python and HTML/CSS. Created three visualization, Phrase nets, Word clouds and performed sentiment analysis based on the words used by the speaker.
We will create a Lambda function that will trigger whenever an object is placed into an S3 bucket. Specifically, we will trigger a job with Amazon Transcribe speech from an audio file placed into S3.
API ViCap - Trabalho de conclusão do curso de Sistemas de Informação. Projeto para geração de legendas para vídeos com a finalidade de auxiliar pessoas com deficiências auditivas.
Automatic assess student answer by video recording video. Teacher manage Question Sets and student result which automatic assessed by cosine-similarity algorithm.
Think-aloud data processing with Amazon Web Services
Demo of live transcription of mic audio in Python with AWS
A deeplearning.ai's course "Serverless LLM Apps Amazon Bedrock"
A website that generates captions for your video either it is in hindi or english.
A Python script to convert a video to text
AWS Lambda script to transcribe an audio file on upload to an S3 bucket.
Sample Implementation of AWS Transcribe and other related services
Transcribe audio into docx, from an S3 upload
A simple online album, support voice and text search / add photo, based on AWS Rekognition / AWS Transcribe
Audio Feedback Sentiment Analyzer with AWS Comprehend | Transcribe Exposed as a REST API
AWS Machine learning services like AWS Comprehend, Translate, Transcribe, Rekognition and Polly with Python Boto3
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