2 years of experience
A passionate full stack developer and deep learning enthusiast. Ready to build tools and technologies by utilizing my knowledge and experience in the field of web development and data science.
ML Researcher and Data Scientist
My name is Maha Zainab and I hold a Master's degree in Information Technology with specialization in Information Retrieval and Machine Learning and from NUST, with a 3.35 CGPA and a research paper that is submitted in IEEE Access. As a part of my Master's thesis, I conducted research on the credibility of content on social media platforms by collecting textual data from Facebook and other websites using open source APIs, engineered and pre-processed features, and trained the machine to predict the credibility of Facebook posts. My enthusiasm for learning new technologies has also led me to work on a variety of projects related to web development, information retrieval, and machine learning. I have also voluntarily assisted over 100 peers with their semester projects, as well as provided coursework assistance to two professors. Currently, I am teaching Python and Machine Learning to international students at iCodeGuru
Global Voice is a powerful language translation tool that allows businesses and organizations to easily translate audio and video content into multiple languages and dialects. Our platform is designed to be user-friendly, efficient, and effective, helping our customers communicate more effectively with their global audiences. Our platform utilizes artificial intelligence and machine learning technologies to deliver accurate translations quickly and efficiently. We support a wide range of file formats of audio and video files. With Global Voice, users can easily upload their content, choose the target languages, and receive high-quality translations in minutes.
An AI-based audio to video converter is a tool that can convert an audio recording into a video file. This tool uses advanced machine learning algorithms to analyze the audio recording and create a video that matches the content of the recording. In addition, this tool can add text in terms of captions to the video based upon the speech in the audio recording. The AI system listens to the audio file and uses speech recognition technology to transcribe the spoken words into text. Then, it synchronizes the text with the video frames to create captions that appear on the screen at the appropriate times. The resulting video file can be used for a variety of purposes, such as creating video content for social media platforms, generating marketing videos, creating instructional or educational videos, and more. The AI-based audio-to-video converter makes it easy for users to quickly and efficiently create high-quality video content from their audio recordings,
🗓️ This will be a 5-days of hacking and fun from 10-14 March 💻 Build with the latest AI tools to create innovative new apps and solutions 💡 Work with top AI professionals and learn from them ⚒️ Create your AI app by combining different generative AI models 🎟️ 100 Free tickets to salz21 conference in Salzburg Austria - get them below ✅ Register now and let's get started!
🗓️ Take part in this 7-day virtual hackathon from March 10 to March 17! 💻 Create AI applications utilizing Cohere's LLM-powered Multilingual Text Understanding model and Qdrant's vector search engine. ✔️ Are you new to AI or an experienced data scientist? Designer, or business developer? Regardless of your experience and background, we welcome you and value your domain expertise. 🐱💻 Join us for free and let's get started!