Ali Raza@AliRaza

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A simple static content website where I write article about my experiences and challenges as a developer.

Noon Hut is an e-commerce application primarily focused on serving its user fresh vegetables and meat products.

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,

WHAT Efa is the ultimate solution to collect event feedback at large scale and generate precious analysis of the attendee's experience. With our interactive, gamified questionnaire, say goodbye to the tedious task of form filling. Efa effortlessly captures attendee sentiments at scale, providing event organizers with valuable insights. WHY Because every feedback counts in order for you to do better at your next event. Also because only a machine can process over 1000 complex interaction and provide insights in a glimpse. HOW As simply as 1, 2, 3 : Tell Efa what is your event, she'll generate a tailored questionnaire for the guest and create a QR code for them to scan. When they are leaving your event, the attendees simply scan the QR code and start to chat with Efa who capture their sentiments. Efa then automatically produce a dashboard, allowing you to get an accurate and tailored view on what was good & what should or must be improved.

The education sector is ripe for innovation, with technology playing an increasingly vital role in modern teaching methods. However, many existing tools focus solely on content delivery and/or content generation, overlooking the crucial aspect of personalized feedback and improvement. TeachWise is a demo that showcases how AI can be utilized such that students and educators can receive targeted suggestions and enhancements for their teaching techniques and delivery style. By harnessing the power of Twelve Labs, TeachWise aims to open the door for more possible usage of AI in the teaching sector.

In this project, we confront the linguistic barriers faced by Yoruba speakers due to limited language resources. Image generation models primarily excel with English prompts, posing a challenge for non-English speakers. To address this, we embarked on a dual-track approach: data collection and model development. Firstly, recognizing the scarcity of Yoruba datasets, particularly in image generation prompts, we meticulously curated our own dataset. English sentences were carefully selected to serve as image generation prompts and then translated into Yoruba using a dictionary-based approach. Next, we developed a custom translator model trained specifically to translate Yoruba into English. This intermediary step ensures seamless integration with image generation models, allowing for smoother operation and accurate results. Through rigorous testing, we achieved an impressive 85% accuracy on the test set, affirming the efficacy of our approach. The core strength of our project lies in its ability to empower users to generate images in their native language without encountering language barriers. By collecting our own data and training custom models, we circumvent the limitations imposed by the scarcity of Yoruba resources. Leveraging the SDXL API for image generation further enhances the user experience, ensuring high-quality outputs. Looking ahead, we envision extending our efforts to include additional languages such as Fon and Dendi, expanding our dataset and catering to a broader audience. Furthermore, our ultimate goal is to develop a model capable of directly generating images from Yoruba, Fon, and Dendi without the need for translation into English. In summary, our project not only addresses a pressing need within the Yoruba-speaking community but also lays the groundwork for future advancements in multi-lingual image generation. Through our innovative approach, we pave the way for inclusive, barrier-free communication and creative expression.

We're building an AI-powered sales consultancy with the focus of accelerating the revenue of our partners. We're achieving this with two potential solutions. Our first approach is, training our AI-model with valuable data from the most successful people in the world (entrepreneur's, salesmen, consultant's)... then when our client has a certain request about how for example he should run his ads, the AI will be giving him an response based on the data collected from those "Mentors" on how he could run these ads. Our second approach will be gathering data about the clients company, the AI will then compare that data to figure out other companies from our dataset which are quite similar and then find out which successful campaigns they had, which weren't successful and then generate advice from that data to ultimately help inspire the client on how they could become more successful with their sales campaigns.