10
3
Bosnia and Herzegovina
2 years of experience
I'm a highly skilled AI professional specializing in NLP and Prompt Engineering with over 2 years of full-time working experience in writing prompts. My expertise spans across the creation of prompts using advanced frameworks, methods, and prompt structures where I can turn any project idea into an advanced solution with high quality. During my career, I have created over 1000 different prompts that utilized advanced methods and frameworks and learned many advanced methods and frameworks that include using psychology to enhance quality, reasoning to improve thinking, and other means and tools. Everything combined enables me to bring a broad range of AI-driven projects to life, from virtual assistants and customer support bots to cloning people. I am confident that I can complete any Generative AI project with the highest quality
ICDPath is an innovative AI-powered application designed to bridge the gap between complex medical information and patient understanding. Our solution offers two primary functionalities: For users with medical reports, ICDPath analyzes the document, identifying and explaining ICD codes, medical terminology and medications. Users can then engage in a QnA session to gain deeper insights into their health conditions, treatment options and potential side effects. For users without medical reports, ICDPath provides a symptom-based analysis, suggesting possible ICD codes and conditions. This feature helps users understand potential diagnoses and offers general health advice. Built using Langflow, ICDPath aims to empower users with personalized health information. Our app translates medical jargon into easily understandable language, enabling users to take control of their health journey. We're currently developing a mobile version to make this valuable tool even more accessible. ICDPath is not just a simple app, it's a personal health assistant, designed to enhance health literacy and patient empowerment.
Yummy is an innovative AI-based mobile app designed to make meal preparation easier. Using the power of the Falcon LLM, Yummy offers an amazing combination of features to make cooking easier, more enjoyable and more efficient for users of all skill levels. Problem and Solution: Many people struggle with meal preparation, facing challenges such as finding suitable recipes, understanding unclear instructions, and lacking inspiration for meal ideas. Yummy addresses these issues by providing an all-in-one solution that simplifies the entire cooking process, from meal planning to recipe generation and execution. Key Features: • Recipe Generation • Meal Plan Generation • Cooking Chatbot • User-friendly interface • And more! Yummy utilizes the Falcon AI model, chosen for its speed, accuracy, and extensive culinary knowledge. The app is built using React Native, ensuring cross-platform compatibility for both Android and iOS devices. Market Potential: • Total Addressable Market (TAM): $687.4 million in 2023, with 17.8% annual growth projected by 2028. • Serviceable Available Market (SAM): Approximately $103 million, targeting smartphone users in developed countries interested in cooking and healthy eating. • Projected Revenue: Potential annual revenue of $1 million based on a $4 per week subscription model and a 1% market share in the first year. Future Plans Planned improvements include: • Integration of Falcon Vision for image recognition • Text-to-speech functionality • Enhanced generation speed • Additional features to be revealed in future updates To test Yummy, please follow the instructions in the README file to run it locally. As a React Native app, it can be tested using Expo Go. Due to hosting limitations, the final APK (for Android) and IPA (for iOS) files cannot be directly shared. However, the instructions for local setup are straightforward and easy to follow, allowing you to experience the full functionality of Yummy on your device. Discord - makziga
Quanta revolutionizes code analysis by leveraging AI to swiftly identify security vulnerabilities, performance issues, and potential bugs in GitHub repositories. Unlike traditional tools, Quanta uses open-source models from IBM watsonx, ensuring your code remains private and secure. Our AI agent excels in analyzing React, TypeScript, and JavaScript projects, with rapid expansion planned for all major programming languages. Quanta's comprehensive approach covers: 1. Security: Detecting vulnerabilities like SQL injections, XSS, and hardcoded secrets. 2. Performance: Identifying inefficient algorithms, memory leaks, and unoptimized queries. 3. Bugs: Spotting logical errors, null pointer exceptions, and race conditions. With an intuitive interface and detailed issue descriptions, Quanta empowers developers to enhance code quality efficiently. Our tiered pricing model makes enterprise-grade analysis accessible to teams of all sizes. Developed during a hackathon, Quanta represents the future of code analysis. We're committed to continuous improvement, including expanding language support, implementing fine-tuned models, and enhancing AI capabilities to stay ahead of emerging threats and optimization techniques. Choose Quanta for faster, more secure, and higher-quality software development.