21
3
Pakistan
2 years of experience
I am Amina Arooj, a BSCS graduate from GIFT University, and I am currently working as a developer. My experience spans across various domains, including front-end development, E-Commerce, and gaming projects. Recently, I have been focusing on Artificial Intelligence and Python, exploring innovative solutions in these areas. I have actively participated in different hackathons, which have enriched my collaborative and problem-solving skills. Always eager to learn and grow, I am passionate about leveraging technology to create impactful solutions.
Elevate the realm of machine learning with "WebML Assist." This innovative project integrates the power of WebGPU and the capabilities of the "BabyAGI" framework to offer a seamless, high-speed experience in machine learning tasks. "WebML Assist" empowers users to build, train, and deploy AI models effortlessly, leveraging the parallel processing of GPUs for accelerated training. The platform intuitively guides users through data preprocessing, model architecture selection, and hyperparameter tuning, all while harnessing the performance boost of WebGPU. Experience the future of efficient and rapid machine learning with "WebML Assist." Technologies Used: WebGPU OpenAI APIs (GPT-3.5, GPT-4) BabyAGI Pinecone API (for task management) FineTuner.ai (for no-code AI components) Python (for backend) Redis (for data caching) Qdrant (for efficient vector similarity search) Generative Agents (for simulating human behavior). AWS SageMaker (for developing machine learning models quickly and easily build, train, and deploy). Reinforcement learning (is an area of machine learning concerned with how intelligent agents). Categories: Machine Learning AI-Assisted Task Management Benefits: "WebML Assist" brings together the capabilities of WebGPU and AI frameworks like "BabyAGI" to provide an all-encompassing solution for ML enthusiasts. Users can seamlessly transition from data preprocessing to model deployment while harnessing the GPU's power for faster training. The incorporation of AI agents ensures intelligent suggestions and efficient task management. By integrating AI, GPU acceleration, and user-friendly interfaces, "WebML Assist" empowers both novice and experienced ML practitioners to unlock the true potential of their projects, transforming the way AI models are built, trained, and deployed.
LaunchReady AI is a cutting-edge AI-driven space mission assistant that enhances mission planning, resource optimization, and communication for astronauts and space agencies. Powered by multi-agent AI models (LLaMA 3.3 Versatile), it streamlines fuel & power allocation, real-time data transmission, and supply chain logistics to prevent costly inefficiencies. With AI-powered automation, LaunchReady AI ensures faster mission readiness, reduces human error, and optimizes decision-making in deep-space exploration. Itβs built using Streamlit, Groq API, and cloud-based infrastructure to provide real-time mission support. A must-have AI tool for NASA, SpaceX, and private space firms revolutionizing interplanetary travel! π
The AI-Powered Disaster Response System scans social media in real-time using DeepSeek AI/ML to detect disaster alerts & categorize theem into 3 categories based on severity level Smart Chatbot with DeepSeek RAG answers emergency queries using past disaster reports & safety guidelines which uses embeddings and vector database Voice Recognition enables non-English speakers to get real-time support. Emergency Alerts & Preparedness Guides ensure quick & informed action and provide links to youtube videos. It provides guidelines, psychological support and preaparedness checklist. We are working on integrating live location, IoT device integration and decentralized communication network