42
9
Pakistan
2 years of experience
Software Engineering student with a strong focus on Python, AI, and web development . I thrive on solving complex problems, developing innovative solutions, and constantly expanding my skill set. Whether it’s through coding, creating content, or offering insights into emerging technologies, I aim to make a meaningful impact in the tech world.
Use AI to build powerful presentations. A good presentation is critically important, because it will form the impression of your product for your audience Making an impact is done by creating a sensory experiences Presentations with videos and accompanying music will leave your audience mesmorised. Using AI to assist in efficiently produced maximum impact presentations Making good presentations takes time Regardless of the context time is always precious Presenting ideas is always necessary from starting small projects to guiding important decisions Weather Vane will save vital time for professionals, students and collaborators everywhere Time saved is value added
Evernote is used by 250 million people worldwide to collect ideas, document meetings, and much more. It runs as a local application or in the cloud and has preceded comparable applications by the big tech companies. Once the note collection has grown over the years, it can become cumbersome to keep an overview and refer to past notes. Large language models offer help to improve search functions and build knowledge from old notes. With the dawn of open-source large language models such as Falcon by the Technology Innovation Institute, new possibilities have been opened. Since these models can be run on less powerful customer hardware, private Evernote data can now be processed, preserving privacy.
The food complaint resolution application is an AI-based customer complaint system tailored to the food delivery industry. While many food delivery companies already have a customer complaint system, it typically involves human intervention to address customer concerns. For instance, if a customer orders pita bread and receives expired bread, filing a complaint triggers a human review process. The human evaluator assesses the complaint using metadata such as images of the bread and the complaint description. Following this evaluation, the customer may be reimbursed if the human determines that the delivered pita bread has indeed expired. However, this manual process is time-consuming and dependent on the availability of human personnel. By utilizing the food complaint resolution application, a food delivery company can significantly reduce processing time and human effort in handling complaints. The application can swiftly process customer complaints in a matter of seconds, streamlining the resolution process. We developed this application with ❤️, incorporating state-of-the-art AI models such as Food Item recognition, GPT-4 Turbo, and GPT-4 vision to automate complaint resolution. The user-friendly interface, created using the Streamlit library, ensures a seamless experience for users. The system mimics human evaluation by processing complaints based on metadata like complaint descriptions and images. After analyzing the information provided by the customer, our system adheres to company policies to provide cash back to eligible customers. If a customer remains dissatisfied with the refund or after reaching the maximum attempts, the system redirects the complaint to human intervention.