Data augmentationJobs

...The brief is straightforward: capture casual-style fashion looks and deliver polished images ready for an online catalogue. Here is exactly what I’m after: • Around 15–20 high-resolution images (4K preferred) featuring a genuine model photographed in relaxed, everyday outfits. • AI touch-ups or full AI backdrops that enhance the scene without compromising realism—think subtle background augmentation, lighting consistency, and colour harmony. • A cohesive visual mood suitable for e-commerce product pages: clean framing, neutral or softly styled environments, and a clear focus on the garments. I’ll provide reference shots, brand guidelines, and outfit details. You can shoot the model yourself or work from supplied raws; either way, pos...

... • Configurer les campagnes (structure, ciblage, enchères, extensions, pixels, etc.). • Rédiger des annonces percutantes et choisir les mots-clés ou audiences adaptés. • Lancer, suivre et optimiser les campagnes pour maximiser les clics tout en contrôlant le coût par visite. • Fournir un reporting clair avec vos analyses et recommandations d’ajustement. Critères de réussite : nette augmentation du trafic mesuré dans Google Analytics, respect du budget publicitaire que je définirai, et amélioration continue des indicateurs clés (CTR, CPC, taux de conversion). Merci de décrire précisément votre expérience pertinente en gestion de Google A...

...inside one architecture; running them in parallel but independently will not satisfy our accuracy goals. You may use the deep-learning stack you trust most (PyTorch, TensorFlow, Keras, OpenCV, torchaudio, etc.) provided the final network can run in real time on an edge device and be exported to ONNX or TFLite. I will share product constraints and a small proprietary data set; you will expand it through public sources or augmentation, perform rigorous cross-validation, and refine the model until we consistently exceed 90 % precision and recall on an unseen hold-out set. When you apply, show me past work—links to papers, GitHub repos, Kaggle solutions, or shipped features—demonstrating experience with cry detection, sound-event recognition, emotion analysis, or...

...model capable of classifying key clinical findings. The end goal is a production-ready Python solution that can consistently score above 90 % accuracy on an unseen validation set. You’ll start with any mainstream framework you prefer—TensorFlow, Keras, or PyTorch—and handle the full pipeline: data preparation and augmentation, model architecture selection, training, hyper-parameter tuning, and evaluation. Please keep the code modular and well-commented so I can retrain or fine-tune later as new data comes in. A concise report that explains your decisions, metrics, and suggestions for future improvements will also be appreciated. To help me choose quickly, focus your proposal on your experience with medical imaging or similar computer-vision tasks...

...machine-learning pipeline that can look at medical images—specifically plain-film X-rays—and tell me whether each study is of the chest, abdomen, or an extremity. All input files will be standard hospital exports (mostly DICOM, occasionally PNG/JPEG), so the model must handle typical variations in resolution and contrast. What I’m after is a reproducible, well-documented solution: data preparation, augmentation, model architecture (a CNN in TensorFlow, Keras, or PyTorch is fine), training, and evaluation. Please include class-balanced splits, explain any preprocessing you apply, and show the metrics you achieve on an unseen validation set. Deliverables • Python code with clear comments for preprocessing, training, and inference • Trained m...

...The brief is straightforward: capture casual-style fashion looks and deliver polished images ready for an online catalogue. Here is exactly what I’m after: • Around 15–20 high-resolution images (4K preferred) featuring a genuine model photographed in relaxed, everyday outfits. • AI touch-ups or full AI backdrops that enhance the scene without compromising realism—think subtle background augmentation, lighting consistency, and colour harmony. • A cohesive visual mood suitable for e-commerce product pages: clean framing, neutral or softly styled environments, and a clear focus on the garments. I’ll provide reference shots, brand guidelines, and outfit details. You can shoot the model yourself or work from supplied raws; either way, pos...

...detect and classify different types of sea trash such as plastic, metal, fabric, rubber, fishing gear, and wood from underwater images and video streams. A convolutional neural network (CNN) model is trained on a labeled dataset of marine objects, including both trash and marine life, enabling accurate differentiation between debris and natural underwater elements. Automated data preprocessing and image augmentation techniques are used to improve model performance and robustness under varying underwater conditions such as low visibility, lighting changes, and water turbidity. Once trash is detected, the system highlights its location and category, providing actionable information that can be used by autonomous underwater vehicles (AUVs), remotely operated vehicles (ROVs)...

Here’s a tightened rewrite that makes **AI-first thinking** explicit and non-negotiable, in a tone that fits LinkedIn without fluff: --- **Senior Consulting Architect — AI-Native Systems (AI-First)** We’re engaging a **senior consulting architect** to help design, harden, and future-proof an **AI-native platform** built with AI at the centre of every decision. This is **not staff augmentation**. It’s a senior consulting role with real accountability for outcomes. The brief is to make the system **correct, secure, scalable, and resilient**, while fully embracing AI as a core capability—not a bolt-on. **What you’ll do** * Lead and refine the core architecture of an AI-native system * Challenge and stress-test assumptions around scale, failure ...

En tant que professionnel de la traduction sérieux et rapide cherchant à élargir ma clientèle et à accroître ma visibilité sur le marché, je suis à la recherche de nouvelles stratégies pour promouvoir et améliorer mes services. Je souhaite mettre en place un projet qui me permettra de : ...freelancers. - Expérience dans l'obtention de certifications et la gestion des adhésions à des associations professionnelles. - Connaissance des plateformes de portfolio en ligne et des meilleures pratiques pour les traducteurs freelancers. - Aptitudes en communication pour solliciter et présenter des témoignages clients. L'objectif est de mettre en œuvre des actions concr&egrav...

...The role combines technical understanding with strong business consulting, requirement gathering, and solution presentation skills. Key Responsibilities Engage with customers to understand business objectives, workflows, and operational challenges. Conduct discovery sessions and requirement workshops with business & technical stakeholders. Identify opportunities where AI/ML, automation, and data-driven solutions can enhance efficiency, decision-making, or user experience. Define problem statements, use cases, and high-level solution approaches. Collaborate with technical teams to draft solution architecture, feasibility assessments, and effort estimations. Prepare client-facing presentations, PoCs, and proposal documents. Support RFP/RFI responses for AI/ML and analyt...

...By removing the "technical tax" of creation, AI shifts the focus back to the idea. In this light, AI is not replacing the artist; it is expanding the definition of who can be an artist. The "craft" is no longer just in the physical execution, but in the curation, the prompting, and the conceptualization. ​The Collaborative Horizon ​The most compelling argument for AI is not replacement, but augmentation. The future of creativity likely lies in a "Centaur" model—a term borrowed from chess where a human and a computer play as a team. In this partnership, the AI handles the heavy lifting of pattern generation and iterative drafting, while the human provides the soul, the ethical compass, and the cultural context. ​A writer might use AI to brai...

Augmentation for existing PhysioNet channels plus evaluation vs baseline

My workspace at already hosts the early experiments for a machine-learning pipeline that classifies image data. The prototype currently loads a modest training set, applies minimal augmentation, and feeds it into a basic CNN. Accuracy plateaus quickly, so the next steps are to tighten the data-prep workflow, tune the architecture, and ship a repeatable training routine that reaches production-ready performance. What needs to happen • Curate and augment the image dataset, ensuring balanced classes and clear train/validation/test splits. • Redesign or refine the network—think transfer learning with EfficientNet or a custom ResNet variation implemented in PyTorch or TensorFlow/Keras. • Integrate early-stopping

My workspace at already hosts the early experiments for a machine-learning pipeline that classifies image data. The prototype currently loads a modest training set, applies minimal augmentation, and feeds it into a basic CNN. Accuracy plateaus quickly, so the next steps are to tighten the data-prep workflow, tune the architecture, and ship a repeatable training routine that reaches production-ready performance. What needs to happen • Curate and augment the image dataset, ensuring balanced classes and clear train/validation/test splits. • Redesign or refine the network—think transfer learning with EfficientNet or a custom ResNet variation implemented in PyTorch or TensorFlow/Keras. • Integrate early-stopping

I have a collection of raw image data that needs to be turned into a production-ready image classification model. The project is strictly data-analysis-oriented: everything from exploring the dataset through to delivering a trained network and clear performance metrics. Scope of work • Inspect and prepare the images (deduplication, resizing, augmentation where it actually improves results). • Select or design a deep-learning architecture that suits the dataset size and class balance—transfer learning with TensorFlow or PyTorch is perfectly fine if it speeds up convergence. • Train, validate and test the model, then hand over the full training notebook or script with comments so I can reproduce results on my own machine. • Provide a ...

I have a collection of raw image data that needs to be turned into a production-ready image classification model. The project is strictly data-analysis-oriented: everything from exploring the dataset through to delivering a trained network and clear performance metrics. Scope of work • Inspect and prepare the images (deduplication, resizing, augmentation where it actually improves results). • Select or design a deep-learning architecture that suits the dataset size and class balance—transfer learning with TensorFlow or PyTorch is perfectly fine if it speeds up convergence. • Train, validate and test the model, then hand over the full training notebook or script with comments so I can reproduce results on my own machine. • Provide a ...

Our staffing bench is ready; what I need now are signed augmentation contracts with medium-sized technology companies that require Software Developers, Data Analysts, or Project Managers. Every engagement you close is rewarded through an agreed-upon commission structure—there is no retainer, advance, or one-time payment before work begins. Your focus will be to identify decision-makers, pitch our vetted talent pool, and drive each lead through to a service agreement. Because we work exclusively on incentive, the earning potential scales directly with the value and duration of the contracts you secure. Deliverables I will use to release commissions: • Qualified lead list with contact details and discovery notes • Proof of scheduled meetings or demos and t...

...project to cover: • A script that reads the full prints, overlays every predefined mask and saves the visible fragments as training inputs while keeping the original images as ground-truth targets. • A CNN architecture implemented with MATLAB’s Deep Learning Toolbox (layers, training options, data augmentation, checkpointing). Feel free to suggest a proven structure such as U-Net or an encoder-decoder, as long as it runs end-to-end in MATLAB. • Training code that accommodates the modest data size, applies validation splits, and prevents over-fitting (transfer learning or regularisation are welcome). • Inference code that takes an unseen partial, feeds it to the trained model, and outputs the reconstructed fingerprint. • An ev...

...building a **simple single‑page web interface** that displays image statistics, metadata, and GPS coordinates extracted from drone‑captured images. These coordinates must be plotted on **Google Maps**, showing markers that correspond to each image. --- ## **Project Requirements** ### **1. YOLOv11 Model Development** - Train a **YOLOv11** model using the provided dataset. - Perform data preprocessing, augmentation, and annotation validation if needed. - Provide: - Trained model weights - Inference script - Documentation on how to run the model --- ### **2. Image Metadata Extraction** Each image contains metadata including: - GPS coordinates (latitude & longitude) - Timestamp - Camera/drone information (if available) The system should: - Automatically extract...

DCG specializes in resolving complex Microsoft support issues across Azure, Microsoft 365, identity, security, and related cloud workloads—often stepping in when internal IT teams or traditional support models have reached their limits. We are currently exploring relationships with freelance senior, escalation-capable Microsoft engineers on an as-needed basis. This is a flexible augmentation model focused on Tier-3 support and overflow coverage, with engineers operating embedded in our support workflows—not a project delivery or managed services engagement. We need engineers who can join a fast-moving team and are comfortable facing clients.

...Description: We are seeking a team of experienced freelancers (or highly skilled individual developers) to join an ambitious project: building a comprehensive Human Resources (HR) platform. Our goal is to work with extreme efficiency, utilizing AI augmentation and parallel development techniques to significantly reduce the overall timeline. Scope of Work: The platform is inspired by leading global systems (e.g., Teramind, Factorial HR, ) and includes the following core modules: Employee Monitoring: Activity tracking, screen recording, and data leak prevention. Core HR Management: Employee records, leave management, documentation, and reporting. Project Management: Kanban boards and task tracking. AI Integration: Face recognition system for attendance tracking. Technical Re...

1️⃣ Identify the skill or resource requirement 2️⃣ Define project scope, duration & expertise needed 3️⃣ Provider shares pre-vetted talent profiles 4️⃣ Business interviews & selects candidates 5️⃣ Professionals join remotely / on-site 6️⃣ Full control remains with your internal team

I need a drawing of Figure 1: A high-level Retrieval-Augmented Generation (RAG) architecture, highlighting the retrieval, augmentation, and generation stages commonly used in enterprise deployments. I need the diagram labled. Key points I’m after • One editable diagram file (Visio, Lucidchart, or are all fine) plus an export to PDF for quick sharing. • Consistent iconography for cloud, on-prem, and hybrid connectivity elements. • Clear labels on each component and a legend for any custom symbols. • Enough visual separation to highlight the boundary between cloud and on-prem segments. I’m happy to clarify anything you need before you start so your first draft is already close to the mark.

...script on your code Share the PR results with us We validate and confirm the purchase Repositories must be shared as private (GitHub / GitLab / Bitbucket) We use the code only for internal AI training purposes Full confidentiality is maintained About RSL Solution RSL Solution (Resource Solutions Lab) is a global technology company specializing in: AI & LLM training solutions Developer augmentation (contract & remote teams) Advanced software intelligence systems We work with enterprise clients and fast-scaling tech companies worldwide, building next-generation AI systems powered by real-world, high-quality code. Looking forward to working with high-quality contributors....

I'm seeking a developer to create an AI-powered 3D scanner. This tool will be used to visualize post-surgery outcomes for specific body parts. Key Requirements: - Capture specific body parts with high accuracy. - Highlight: - Skin texture and tone - Facial contours and structure - Symmetry and proportions - Accurate augmentation results Ideal Skills and Experience: - Expertise in AI and 3D modeling - Experience with cosmetic surgery applications - Strong attention to detail and accuracy Please provide relevant portfolios and experience in your bids.

I need a clean, informative website that presents my IT Consulting and Services firm as a credible, forward-thinking partner. The site’s primary role is to explain who we are and showcase the range of solutions we provide, so visitors quickly see how we can help them and feel confident reaching out. Key services that must stand out are: • IT Support • Software Development • Staff Augmentation • UI/UX Design • AR/VR Solutions • AI/ML Innovation • Gamification & Game Development What I expect from you — A modern, responsive design that looks sharp on desktop, tablet, and mobile. — Intuitive navigation with dedicated sections for each service above, an About Us page, client testimonials, a simple blog/news are...

...recommended hashtags, and—when relevant—derivative imagery or an audio remix to accompany the caption. • Tech stack – I’m comfortable with PyTorch or TensorFlow, Hugging Face Transformers, and standard diffusion or encoder-decoder approaches for cross-modal fusion. If you have a stronger alternative, make your case in the design notes. • Training pipeline – Please outline data sourcing, preprocessing, augmentation, and alignment techniques to maintain brand tone and prevent hallucinations. I’ll provide sample brand guidelines; the rest of the dataset strategy is up to you. • Delivery – Dockerised training environment, inference API (REST or gRPC), a short demo notebook, and concise documentation explaining arch...

...recommended hashtags, and—when relevant—derivative imagery or an audio remix to accompany the caption. • Tech stack – I’m comfortable with PyTorch or TensorFlow, Hugging Face Transformers, and standard diffusion or encoder-decoder approaches for cross-modal fusion. If you have a stronger alternative, make your case in the design notes. • Training pipeline – Please outline data sourcing, preprocessing, augmentation, and alignment techniques to maintain brand tone and prevent hallucinations. I’ll provide sample brand guidelines; the rest of the dataset strategy is up to you. • Delivery – Dockerised training environment, inference API (REST or gRPC), a short demo notebook, and concise documentation explaining arch...

...originally tuned on. I want to retrain it so that race, age, and body type are all learned equally well, producing a genuinely universal model that works for men, women, and trans users of every demographic and have a good support of ipAdaptor (or train an ipadator version) You will need to supply a large, well-labeled data set that represents the full spread of human diversity. The source must be legally usable for commercial AI work;You will handle data cleaning, augmentation, and the complete fine-tuning process—then return the updated weights along with inference scripts and a short technical report. Deliverables • Curated, diversity-balanced training set (or verifiable linkage to it) I will also send you a reference site. • Fine-tuned Yog...

This project covers preprocessing of a breast cancer mammography dataset strictly following the methodology as discussed. Tasks include lesion cropping using ground-truth masks, image resizing to 224×224, normalization, and augmentation (rotation, flipping). Clinical features will be encoded as one-hot vectors with proper handling of missing data to ensure full compatibility with downstream multimodal fusion models.

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I’m working on a personal research project that relies on convolutional neural networks to analyse image data, and I’ve reached the point where the baseline architecture no longer meets my goals. I need the model to be both more accurate and noticeably faster at inference without sacrificing one for the other. You’ll start with my existing checkpoints and training scripts (Python, TensorFlow/Keras—PyTorch equivalents are fine if you would rather port). The task is to redesign or fine-tune the network, apply the right data-augmentation or regularisation tricks, and then compress, prune, quantise, or otherwise accelerate it so that I see measurable gains in both metrics. I’m happy to experiment with advanced techniques such as knowledge dis...

...photographs, even when the images come from clinics or cameras it has never seen before. I will rely on publicly available datasets, so part of the job is to help me choose, download, and harmonise the best open-source collections, handle class imbalance, and set up robust cross-dataset evaluation. Once the data pipeline is in place, build and train a modern architecture—CNN, Vision Transformer or a hybrid—optimised for both accuracy and domain generalisation. Strong data-augmentation, colour normalisation and adversarial or contrastive techniques are welcome if they improve out-of-distribution performance. Deliverables • Cleaned and documented dataset splits with the code to reproduce them • Training code (Python, PyTorch or TensorFlow) ...

I have a very limited corpus of speech and transcripts—just a few hours—and I need to translate low data language to english in realtime. The goal is to adapt a large ASR/TTS Transformer (Whisper-style architecture) to this low-data setting, squeezing the most out of the dataset through smart training techniques. What matters most is the training strategy: curriculum scheduling, learning-rate tricks, mixed-precision, and any other techniques you know that keep a Transformer stable when the data are scarce. Data augmentation, synthetic data creation, few-shot and self-supervised learning are all on the table; noise injection, pitch or speed variation can be explored if they prove helpful. I prefer to work within proven open-source stac...

...Logo Versions Full-color primary logo Monochrome version (black / white) Horizontal and stacked layouts Icon only (for app, favicon, social media) File Formats Vector files (AI, SVG, PDF) High-resolution PNGs (transparent background) Color references Typography specifications 5, Designers may propose: A creative or symbolic interpretation of the “double X” Symbolism representing “augmentation” or “intelligence” A clean SaaS-style interface mockup using the logo A dark-mode variation of the logo 6. Tone of the Brand The final logo should express: Intelligence Credibility Human + AI collaboration Professional excellence Futuristic simplicity 7. Final Note for Designers We are looking for a distinctive, timeless, and prem...

...models that can perform single-trace or reduced-trace key recovery, including 3DES, RSA private key extraction, PIN recovery, and Track 2 reconstruction, based on the data and workflow outlined in our technical documents. Core Requirements (Machine Learning & SCA) The freelancer must be capable of delivering the following: 1. Trace Pre-Processing & Alignment Filtering, normalization, denoising, jitter correction Automatic alignment of thousands of EM traces Region-of-Interest (ROI) detection for DES / 3DES / RSA operations ML expert 2. Dataset Preparation Build labeled datasets from multi-trace captures Implement augmentation strategies for noise robustness Prepare training sets for CPA-assisted or standalone ML attacks ML expert 3. Model Design, Tra...

...utilisateur optimisé pour réduire le coût d’acquisition • CTA placés de manière stratégique • Formulaires ultra-simplifiés pour diminuer l’abandon • Intégration tracking & analytics (Meta, Google, TikTok) pour mesurer l’impact • Mise en place de tests A/B afin d’isoler les éléments qui maximisent réellement la performance ⸻ Objectifs business & ROI attendu • Augmentation du taux de conversion • Baisse du coût par acquisition • Augmentation du panier moyen et de la valeur vie client (LTV) • Amélioration du ROAS des campagnes existantes • Meilleure monétisation du trafic actuel sans surcoû...

I have a collection of CT ...simply handing over a finished model. During our sessions I’d like to cover everything from data preparation and augmentation, through model selection and training, to post-processing and quantitative evaluation. I have my own PACS system and studies (research lab) and have 3D slicer, ITK-SNAP and sim-vascular. Deliverables I expect at the end of the engagement: • A reproducible segmentation pipeline that I can apply to various organs from CT volumes. • Two to three live walkthrough sessions (recorded is fine) where we iterate on the pipeline using a small sample dataset, troubleshoot issues, and validate the final image. If you have hands-on experience extracting vasculature from CT data and enjoy teaching ot...

...must be written manually with a corporate tone. No AI text and no AI images are allowed. You must also agree not to disclose that this work was done by you or your agency. --- Content Requirements Write complete content for: Company introduction Mission and vision Values Leadership message Why choose us IT services overview AI and automation Cloud and DevOps Data and analytics Cybersecurity Staff augmentation Industries served Engagement models Work process Legal and compliance note Contact information Content must be original, professional, and enterprise-grade. --- Design Requirements Corporate, modern layout Infographics and clean visuals No AI images 10 to 20 pages Editable file required Final PDF required Design similar to Wipro, Infos...

...family images for CNN classification. • LAMDA Dataset CSV with features and labels for GNN and drift analysis. I will provide the datasets if needed. 3. Code Setup You will reproduce the exact execution environment from my notebooks (included in the research document): LightGBM implementation (Feature removal, training, calibration curve, ROC-AUC) CNN implementation (image preprocessing, augmentation, training, evaluation, calibration) GNN (GraphSAGE) (graph creation with cosine similarity, training, ROC, MCC, calibration) You must ensure the code runs without errors. 4. Testing & Verification After installation, you must: Run each model and ensure results match expected outputs in my research Paper_need to be MDPI Show me the ROC curve, calibration curve,...

I like to work on the Whisper Small speech-to-text model and make it truly understand require someone who can handle the end-to-end technical work: cleaning and aligning our audio/text pairs, setting up the training pipeline in PyTorch, running the fine-tuning, and proving the quality gains with solid WER/CER evaluations. Natural language generation techniques for data augmentation are welcome if they help squeeze more accuracy out of limited resources. Please bring practical Whisper or Hugging Face training experience, a GPU-ready workflow, and a clear plan for reproducible experiments. Deliverables • Pre-processed and documented Bengali dataset ready for Whisper • Training scripts/notebooks and configuration files • Fine-tuned Whisper Small chec...

Our Poland-based consulting firm supplies remote software developers, data analysts, and other IT specialists from Poland and neighbouring Central-European countries to Israeli tech organisations. We already serve several Israeli clients and can provide references that prove the model works; now I want to scale our reach inside Israel’s technology sector. The assignment centres on two activities: • Lead generation – identify and qualify Israeli technology companies that are struggling to hire locally and could benefit from near-shore teams. • Client meetings – open doors, set up calls or face-to-face meetings, and represent our offering alongside me when required. No cold list dumping; I expect warm, well-researched prospects with clear buying...

I need an AI-driven “do / don’t” engine that screens user-generated text and flags or blocks anything that looks like spam. The scope is strictly text-based content mo...a model (or rules-plus-model hybrid) that can make real-time accept / reject decisions with a confidence score I can log. An easy-to-consume REST or GraphQL endpoint is ideal so I can plug it into my current backend. Please include a short README that explains the input format, expected response, and any threshold settings I can tweak. I’ll supply sample data to get you started, but I’m open to suggestions on public corpora or augmentation techniques if you think they’ll improve accuracy. What matters most is low false-positive rates, fast inference, and clear instructions...

I have a sensor-companion board built around an Arduino Teensy 4.1 that is normally compiled from inside Visual Studio in C++. A recent update has left the project refusing to build because of straight syntax errors—no missing libraries, no undefined references, just code that now trips the compiler. I already know the exact files and line numbers that throw the red flags, so you will be able to jump straight to the problem areas rather than hunting through the whole tree. What I need first is a clean build that loads and runs on the hardware without altering any of the intended functionality. Once the immediate errors are cleared, I would also like you to fold in a small block of code that brings a new add-on peripheral online, so the brief naturally extends to a light refactor f...

My current website needs a thorough spring-clean. I want every lingering issue addressed—from tangled code in the backend to sluggish front-end performance—and then finish by adding a brand-new “Staff Augmentation” page that matches the existing design. Executive Summary The site has a strong foundation but is currently held back by significant performance bottlenecks, particularly on mobile, and a lack of foundational SEO optimization. Addressing these will dramatically improve user experience, search engine rankings, and conversion rates. 1. Critical Performance & Load Time Issues (Highest Priority) These issues are causing the site to load very slowly, especially on mobile devices. Google uses site speed as a ranking factor, and a slow site increases...

I already have a polished, 30-second YouTube ad aimed at women researching breast-augmentation options within the broader Health & Fitness space. What I need now is precise placement: the spot directly before the most-watched, long-form videos on this exact topic so every interested viewer sees my message first. Your role is to handle the entire YouTube Ads setup—research the highest-traffic, breast-augmentation–related videos, build the in-stream (pre-roll) campaign, fine-tune demographic and keyword targeting, and keep a close eye on performance so the ad reliably drives consultation bookings. Google Ads, YouTube Studio, and solid audience analytics should feel second nature to you. When you respond, highlight at least one previous campaign where you suc...

...track—without tearing the codebase apart. What you’ll actually do • Walk through the current notebook / .py files and training logs to spot signs of overfitting, underfitting or plain hyper-parameter mis-matches. • Experiment inside the same files with learning rate schedules, batch size, epoch count and, where sensible, light touches of regularisation (dropout, weight decay) or data augmentation. • Keep architecture and data loading intact; all fixes should be incremental, easy for me to diff and rerun. • Run a clean training cycle that demonstrates a clear lift in validation accuracy and, ideally, a steadier loss curve. Deliverables for sign-off 1. Updated code (or notebook) that executes start-to-finish on my dataset. ...

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Project Overview Looking for an experienced AI/ML developer with strong skills in computer vision and deep learning to build an AI-powered face skin analyzer. The goal is to allow users to scan or upload their face image, send it to the model for analysis, and receive a ...tested AI/ML model for all listed skin concern detections * Complete codebase, including: * Preprocessing scripts * Model training and evaluation * Inference scripts for running predictions Timeline: * Expected completion: 1 week Ideal Candidate * Strong background in computer vision, deep learning, and image segmentation/classification/detection * Solid understanding of data preprocessing, augmentation, and model evaluation techniques * Ability to deliver a clean, well-structured, and well-do...

...dictionary videos. Error handling (low light, permission issues, invalid inputs). Integration with backend APIs and TFLite model. B. Machine Learning Model Development Build a full PSL recognition model for static signs. Dataset creation workflow: Obtain PSL dataset (from or any verified source). Clean, label, and preprocess data. Minimum: 28+ classes; ideally expandable to 50–100 signs. Preprocessing: Image normalization Resizing Augmentation Model architecture: Baseline CNN or MobileNetV2 (freelancer’s expertise allowed) Must achieve ≥85% validation accuracy Convert to TFLite + quantization. Provide model versioning + metadata. C. Backend API Development Backend should include: 1. Authentication JWT-based login/register Phone/email s...