8
2
Web Developer
Ghana
5 years of experience
Our app provides a fully digitalized package for our clients. We offer a range of services, including the creation of a logo, ads that can be used on social media platforms such as Facebook and Instagram, a website, and marketing videos. In order to enhance the quality of our videos, we use a technology called DeepFake. This technology generates faces which are then placed onto the video to create a more engaging advertisement. To create the ads, we use two different technologies called dalle and gpt3. Dalle is used to generate images, while gpt3 is used for text. The logo is also created using dalle for the image and gpt3 for the text under the image. For the website, we will use dalle for images and gpt3 to code the website itself. Additionally, we will be adding automation to our app to streamline the entire process. Impact:: Our app offers a comprehensive range of services that can potentially have a significant impact on the market. The fields in which our app can be used includes branding, digital marketing, web development, and video production.One potential way to use client data and requests of images for further work is to analyze the data to identify trends and patterns in the type of images that clients are requesting. This can help us to tailor our services to meet the specific needs and preferences of your clients. For example, if we notice that clients are frequently requesting certain types of images or logos, we could focus on developing more options in that style., our app has the potential to make a significant impact on the market and attract a wide range of clients.
KlassNaut is a cutting-edge AI-powered note generator designed to streamline the note-taking process for teachers. With its easy-to-use interface, teachers can generate notes with text input or audio input, depending on their preferences. Once the input is received, the app sends the request to a Flask server that distributes the task to Celery workers via Redis. The workers utilize GPT3.5, Whisper (when audio is involved), and Stability AI to generate meticulously formatted notes, complete with corresponding images. The generated notes are then saved to PostgreSQL, allowing teachers to easily access them at any time. To ensure that teachers receive timely notifications, KlassNaut sends notifications via a socketio server once the note has been generated. Teachers can then view the note, edit it if needed, and download it in either PDF or Docx format for future reference. The KlassNaut ReactJS client is deployed to Vercel, while the server-side code is deployed on Digital Ocean, providing a seamless user experience. KlassNaut represents the future of note-taking, simplifying and enhancing the teaching and learning experience.
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