Automatic Speech Recognition (ASR), also known as speech-to-text (STT), is a versatile subfield of computational linguistics that configures technologies that enable computers to recognize and convert natural spoken language into text.To this day, the most advanced versions of automatic speech recognition systems revolve around Natural Language Processing (NLP). By interlacing ASR with NLP technology, systems have a greater probability of answering its users more accurately by mimicking humans as closely as possible through natural language. Programming Language: Python 3.8
The system will work on face recognition where each student in the class will be photographed and their details will be stored in a server. The teacher can then record the attendance by just clicking some pictures of the classroom. The system will recognize the faces and verify the presence or absence of each student.AI based Face Recognition solution which uses machine learning algorithms to mark the attendance of the employees.We developed AI powered Face recognition attendance for improving of the system and a secure way to taking attendance. Programming Language: Python 3.8
I am a computer science & engineering student having a good knowledge about python and in developing skills. I am a job seeker and always ready to grab new opportunity to develop my skills. Adept at developing various tools & applications by producing clean & efficient code, conducting system analysis to improve operations, and automating tasks through appropriate tools.
Intership in Full Stack Development Using Django Assisted the technical and business staff with the design, development, testing, implementation and maintenance of the 5+ programs on a weekly basis Detected and tracked software detects and inconsistencies in the program Performed automated and manual tests to ensure the software created by the developer is up to date and working properly.
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