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I want to run an open-source Chinese LLM—most likely Qwen, Deepseek, or Kimi—entirely under my own roof for document analysis, document preparation, and workflow management. My main priority is the hardware side: advising me on whether to buy a single GPU for the long haul, rent a cloud GPU, or start with a more modest card and upgrade later. All three options are on the table, so I need a clear comparison of cost, VRAM requirements, and expected performance. Once the hardware decision is made, I’ll need hands-on help getting the chosen model installed, optimised, and benchmarked on that setup. That includes configuring the runtime, loading the model weights, and confirming that everything runs smoothly on my local network. After it works, please walk me through everyd...

I need a license-plate recognition engine that can reliably read Qatar, UAE, and Saudi Arabia plates when they appear in either still images or live video streams. High accuracy is non-negotiable—I am targeting production-level performance suitable for enforcement and analytics, so false positives must be minimal and confidence scores exposed. To succeed you will design, train, and package a full ANPR pipeline that: • detects the plate region in diverse lighting and angles, • recognises Arabic and Latin characters as well as the specific colour codes and icons used across the three countries, and • delivers results fast enough for real-time video (traffic-camera frame rates) while also accepting batch image inputs. Please outline your preferred tech stack (Open...

We need an Al-focused application that delivers 100% functionality in analysing and solving geometric patterns in jewellery. The primary objective is to ensure precision and reliable output. The features include: 1. Detecting patterns across different jewellery parts such as any parts of boundaries, textures, cuts, or design elements (including broad patterns, sub-patterns, and intricate sub-to-sub patterns). 2. Identifying low-quality or unclear components within these patterns and seamlessly replacing them with high-quality elements from other sources or jewels. 3. Ensuring replacements naturally blend into the overall piece, maintaining structural integrity and visual coherence. The focus is entirely on achieving accurate functionality with results that meet expectations directly. Exp...

I maintain an open-source repository called “sesame-ai-in-finance,” a curated collection of Deep Reinforcement Learning and broader AI resources for trading and quantitative finance. The current README does the job, but its introduction and high-level overview feel dated and don’t capture the project’s recent growth. I need those two sections rewritten so that a first-time visitor immediately understands: • the purpose and scope of the list • what sets it apart from other AI-in-finance collections • how the content is organised (main categories, Chinese mirror, media assets, contribution flow) • who should use it—researchers, quants, hobbyists, students—and why Keep everything in one Markdown file, preserving existing badges,...

I have a fully-labeled dataset containing vehicles and their licence plates and now need it to power a production-ready object-detection model. I’m flexible on the backbone—you can work with YOLO, SSD, Faster R-CNN or whichever modern architecture you feel will squeeze out the best accuracy—but the end result must reliably spot both the vehicle and the plate in a single pass. What I will provide • Training, validation and test splits already annotated in COCO-style JSON • A small script that shows the folder layout I use for images and labels What I expect back • The fine-tuned weights • All training and evaluation scripts (Python preferred; PyTorch or TensorFlow are both fine) • A quick-start readme so I can reproduce your results o...

I need to fine-tune an existing computer-vision model for object detection so it performs reliably on my custom dataset. The base architecture is already selected; the task now is to prepare the data, set up transfer-learning, run hyper-parameter sweeps, and deliver a set of weights that reach an agreed-upon mAP on a held-out validation split. You may use PyTorch, TensorFlow, or another mainstream framework as long as the final model can be exported to ONNX. Please share examples of past work where you have successfully fine-tuned or trained object-detection networks—links to repos, papers, or short demos are ideal. Once we decide on the starting checkpoint and training environment, I’ll supply labeled images, class definitions, and any additional annotations you need. Delive...

Saya mahu membangunkan sebuah AI ringkas yang boleh menjana imej kartun bergaya anime secara automatik. Fokus saya hanya pada gaya anime; gaya lain tidak diperlukan pada peringkat ini. Skop kerja: • Sediakan prototaip model yang, apabila diberi arahan ringkas (contohnya teks atau lakaran asas), mengeluarkan imej kartun anime berkualiti tinggi. • Gunakan mana-mana rangka kerja popular seperti Stable Diffusion, GAN, atau pilihan setara—saya terbuka selagi hasilnya konsisten. • Sertakan skrip latihan, set data contoh, dan panduan langkah demi langkah untuk menjalankan model sama ada secara tempatan atau di awan. • Hasilkan beberapa imej contoh bagi membuktikan model berfungsi. Format fail akhir boleh PNG atau JPEG; pilih yang paling sesuai dengan alir kerj...

I need a DistilBERT-based text-classification model that not only reaches strong accuracy but can also run smoothly on memory-limited edge hardware. You will help me build the entire pipeline: first by working with me to assemble and label a solid training corpus, then by fine-tuning DistilBERT on that data. After training, I want the network aggressively compressed—quantisation down to INT8, pruning where it makes sense, and any additional knowledge-distillation tricks you feel will preserve accuracy. The compact model must export cleanly to a deployment-friendly format (ONNX is my first choice, though TensorFlow Lite or TorchScript are fine if they give better performance). Before and after optimisation, benchmark accuracy, size on disk, inference latency and peak RAM so we c...

I’m looking for someone who can help me find relevant projects on Freelancer.com, write targeted proposals, and manage/improve my existing portfolio. The Freelancer.com account is new, so there is no previous client history or completed projects on the account yet. The goal is to build the profile gradually by finding genuine projects that match my actual skills and getting the first few successful clients. Main areas: * AI & Data Science * Python * Machine Learning / Deep Learning * AI Automation * Chatbots * Computer Vision * Web Development * Graphic Design What I need: * Find relevant projects * Write customized proposals * Avoid wasting bids on irrelevant projects * Track bids and client responses * Help organize and present my existing projects professionally * Help bu...

I’m planning a comprehensive set of advanced-level video lectures that will walk learners through deep learning techniques, natural language processing, and reinforcement learning. Every lesson must feel like a polished conference talk: clear theory explanations, live Python coding in Jupyter or a similar environment, and crisp screen-plus-voice capture with unobtrusive on-screen graphics. What I need from you • A cohesive syllabus that sequences the three focus areas logically and flags any prerequisite knowledge. • Slide decks, notebooks, datasets, and any supplementary reading you reference, all organised by module. • Studio-quality recordings—clean audio, 1080p video, readable code font, and smooth editing that blends slides, code walkthroughs, and tal...

Project Title Machine Learning Engineer to Build and Train Custom Python LLM for Project Description We run , an AI-powered stock research and screening platform. We want to move away from commercial APIs (like OpenAI or Anthropic) and build, fine-tune, and deploy our own custom Large Language Model (LLM). We are looking for an experienced Machine Learning / Deep Learning Engineer to build a Python-based pipeline that trains a custom open-source model to auto-generate structured, accurate financial stock summaries. 1. Scope of Work (What We Need Done) • Model Selection & Architecture: Help us select the best open-source base model (e.g., Llama 3, Mistral, Phi-3, or a financial variant like FinGPT) to host and train locally or on our cloud infrastructure. • Dataset Preparatio...

I’m looking for someone who can help me find relevant projects on Freelancer.com, write targeted proposals, and manage/improve my existing portfolio. The Freelancer.com account is new, so there is no previous client history or completed projects on the account yet. The goal is to build the profile gradually by finding genuine projects that match my actual skills and getting the first few successful clients. Main areas: * AI & Data Science * Python * Machine Learning / Deep Learning * AI Automation * Chatbots * Computer Vision * Web Development * Graphic Design What I need: * Find relevant projects * Write customized proposals * Avoid wasting bids on irrelevant projects * Track bids and client responses * Help organize and present my existing projects professionally * Help bu...

I’m preparing a postgraduate research paper in Computer Vision based on an existing university Capstone project titled “A Vision-Based Sleep Posture Recognition System.” I will provide the original project, university assessment requirements, formatting template, and supporting materials. I need a highly experienced academic researcher, not a general content writer. The work requires a rigorous literature review, critical analysis of the existing project and its results, and high-quality academic writing and editing suitable for a conference-style paper. All references must be genuine, verifiable, peer-reviewed academic sources, preferably recent IEEE, Elsevier, Springer, or reputable conference/journal publications, with proper IEEE referencing. Requirements: • S...

# Local AI Development Platform – Project Description ## 1. Project Goal I want to build a powerful, locally operated AI development and system administration platform running on my own Linux computer. This is not intended to be just a local LLM, chatbot, or basic OpenClaw installation. The goal is a modular AI-agent system capable of researching, programming, developing WordPress solutions, operating computers, managing remote servers, and continuously expanding its knowledge. The primary use case is professional **WordPress and Gutenberg development**. ## 2. Hardware The system will run on an **Elite ER937 AI Silent Cooling Mini PC** with: - Linux - AMD Ryzen 9 processor - 32 GB RAM The architecture should be optimized for this hardware. If RAM, storage, GPU/NPU, or other u...

# Introduction to Artificial Intelligence ## 1. What is AI? Artificial Intelligence (AI) is a branch of computer science that focuses on creating systems capable of performing tasks that normally require human intelligence. It includes areas like machine learning, deep learning, natural language processing and robotics. ## 2. Applications of AI • Healthcare – disease prediction, medical imaging • Education – personalized learning, smart tutoring • Transportation – self-driving cars, traffic control • Banking – fraud detection, customer support • Robotics – industrial automation, smart robots ## 3. Benefits of AI • Automates repetitive tasks • Analyzes large amounts of data • Improves decision making • Increase...

The project centers on building a production-ready TensorFlow 2.x model that classifies tabular data delivered to us through an internal API. I have the API specifications and sample payloads ready; you will turn those streams into a clean training pipeline, engineer the right features, and iterate until the classifier meets our performance targets in real-world tests. Scope of work • Data pipeline – pull the API data, handle preprocessing, and produce TensorFlow-friendly datasets for train/val/test splits. • Model development – design, train, and tune a deep learning architecture suitable for tabular inputs (e.g., wide & deep, Transformer, or other proven structures). • Optimization – experiment with hyperparameters, regularization, and callback...