I’m a digital marketer with experience in Pinterest marketing and pin design, previously working through Fiverr. Currently, I’m working as an Amazon PPC Specialist and looking forward to learning and growing with this community.

AI image generation app built with Streamlit and the powerful Z-Image-Turbo model! 🚀 What Does It Do? Turn your text descriptions into stunning, photorealistic images in just 8 steps (most AI models need 50+ steps). Type what you want, hit generate, and watch the magic happen in seconds! ✨ Why I Built This The goal was simple: make professional AI image generation accessible to everyone - designers, marketers, artists, or anyone with creative ideas. No coding knowledge required, no expensive API subscriptions, just pure creative freedom! 💡 Key Features - ⚡ Ultra-Fast: Generates images in ~8 seconds - 🎯 High Quality: 6B parameter model for photorealistic results - 🌐 Bilingual: Understands both English and Chinese prompts - 🎲 Reproducible: Control seeds for consistent results - 📥 Download Ready: Save your creations instantly - 🖥️ Runs Locally: No cloud dependency, your data stays private 🛠️ Tech Stack - Model: Alibaba's Z-Image-Turbo (Apache 2.0 licensed) - Framework: Hugging Face Diffusers + PyTorch - Interface: Streamlit - Hardware: Works on GPU (recommended) or CPU 🎯 Perfect For ✅ Marketing visuals and ad campaigns ✅ Social media content creation ✅ Rapid design prototyping ✅ Blog headers and thumbnails ✅ Creative exploration and experimentation ✅ Learning about AI art generation 📊 What Makes It Special? Unlike traditional models that take minutes to generate a single image, Z-Image-Turbo produces professional-quality results in seconds. It's optimized for speed without sacrificing quality - perfect for iterative design work where you need to test multiple concepts quickly. 🖼️ Example Use Cases Imagine typing: "A cozy coffee shop interior, warm lighting, rain on windows, vintage aesthetic" and getting a magazine-quality image in 8 seconds. That's the power of this tool! 🔧 Technical Highlights - Model size: 6 billion parameters - Resolution: 512px to 2048px - Inference steps: Just 8 (vs typical 50+) - Memory efficient: Runs on 16GB VRAM - Open source and customizable

Data Analytics Project 10 : Power BI Data Survey Report I’m excited to share my latest Power BI project: the Data Survey Report Dashboard, built to analyze global data professionals’ demographics, salary trends, programming language preferences, and career challenges. This project focuses on turning raw survey data into clear, decision-ready insights that reflect real workforce patterns across the data industry. The single-page dashboard highlights key KPIs such as total number of volunteers, average age of participants, and average salary by job designation. It also breaks down country of residence using a treemap, compares salaries across roles with shaded bar charts, and shows preferred programming languages through multi-category bar visuals. To better understand career experiences, the dashboard includes a donut chart showing the difficulty of breaking into the data field and gauge visuals measuring satisfaction with salary and working environment. These indicators help stakeholders quickly assess sentiment, challenges, and overall satisfaction levels within the data community. This project is designed for HR and talent acquisition teams, data and analytics managers, academic institutions, and workforce planning teams. It demonstrates how Power BI can deliver concise, interactive, and executive-level insights from survey data, supporting smarter talent strategy and skills planning across the global data ecosystem. https://github.com/Talal-Bin-Zahid/Power-BI-Survey-Report-

Apnay aaap ko sbse ziaada samajhdaar samajhhna chorrr dijiayyy Aaap bht samajhdaaar bunn jaaingy! Shukrya 🤗

AOA Everyone, I hope you are all doing well. I am a Computer Engineer currently working as an IT Support Engineer (8:00 AM – 6:00 PM). I am keen to transition into freelancing and would like to enhance my skills in chatbot development, AI model fine-tuning, and related AI technologies. I am looking for guidance on a practical learning roadmap from professionals already working in these areas. Additionally, I would be glad to collaborate on projects with like-minded individuals to gain hands-on experience and grow together. Any advice, resources, or collaboration opportunities would be highly appreciated. Thank you in advance!