Strojové učení (ML) Jobs

Research Paper + AI Football Video Analytics Prototype I am looking for someone to help me develop an experimental research project and research paper titled: “AI-Based Low-Cost Video Analytics System for Assisting Grassroots Football Talent Identification.” The goal is to create a research prototype, not a commercial application or a complete production-level software system. What I need The system should take a normal football match/training video recorded using a low-cost/ordinary camera as input and use existing/pre-trained AI/computer-vision models to analyze players. Basic workflow: Football Video → Player Detection → Player Tracking → Movement/Position Analysis → Performance Metrics → Player Performance Report The implementation may use e...

I need a complete solution that pinpoints abnormal behaviour across my wireless sensor network. You will have direct access to three rich data streams—raw sensor readings, detailed network-traffic captures, and accompanying environmental context—so the approach can fuse information rather than relying on a single source. Your job is to design, implement, and validate an anomaly-detection model that flags faulty nodes, suspicious traffic, or out-of-range measurements in near-real time. Feel free to select the technique that best fits the data volume and complexity; I am open to statistical, classic machine-learning, or deep-learning pipelines as long as the final system is transparent and reproducible. Python (NumPy, Pandas, Scikit-Learn, TensorFlow/PyTorch) is preferred for ...

I have a raw customer dataset and I need a predictive model that can automatically segment these customers into actionable groups. The job begins with cleaning and preparing the data, moves on to feature engineering, and culminates in training and validating a segmentation model in Python—ideally using pandas, scikit-learn (or similar), and clear visual output via matplotlib or seaborn. What matters most is accuracy and interpretability. I want to understand which features drive each segment, so well-commented code, concise documentation, and an executive-level summary of insights are essential. Final deliverables should include: • A reproducible Python script or notebook • The trained model (saved or easily retrainable) • A brief report highlighting key segments...

NOTE: This is purely intellectual partnership. Money is not a motivation in this project. Seeking an established researcher for long-term collaboration in computational/structural biology. Applicants focusing solely on "Thesis Writing" or similar services will not be considered. Requirements: * PhD in CS, computational science, bioinformatics, statistics, or related field * Established publication record * Professional standing to serve as a future academic/industry referee Collaboration: * Strengthen methodology and experimental design * Perform supplementary analyses * Co-write manuscripts and reviewer responses * Provide a reference letter after an established collaboration Full co-authorship for contributions meeting authorship standards, with opportunities for follow-u...

My aim is to develop a Machine Learning algorithm that can predict the top 4 finishers in horse, harness, and greyhound racing. Unfortunately, I do not have any historical data available for training the algorithm, so I will need a freelancer who has the expertise to build this from scratch. Ideal Skills and Experience: - Extensive knowledge and experience in Machine Learning. - Familiarity with racing dynamics, particularly horse, harness, and greyhound racing. - Ability to create synthetic data for algorithm training. - Prior experience in developing predictive algorithms. - Strong statistical analysis skills.

Senior AI/ML + Distributed Systems Engineer Required (Enterprise Build – $45,000 Fixed Price) Project: AI Financial Intelligence & Risk Monitoring Platform We are hiring a highly experienced engineer or engineering team to architect, build, deploy, and operationalize a production-grade AI Financial Intelligence & Risk Monitoring Platform. This is not a prototype. This is not a simulation. This must be a fully scalable, real-time, enterprise-grade system capable of operating under production conditions. ⸻ Project Overview The platform must: * Process high-volume financial data streams in real time * Detect anomalies using AI-driven models (not rule-based systems) * Generate actionable risk intelligence * Operate under strict performance, latency, and scalability benchm...

3. AI Model Inference API Gateway Category: Backend Development / API Engineering Budget: £1,350 GBP — Fixed Price, 3 Milestones Project deadline: Saturday, 10 October 2026 Description: We're building a backend gateway that sits in front of one or more machine learning models and exposes them as a clean, versioned inference API. The gateway needs to handle request queuing under load, model version routing, response caching where appropriate, and consistent error handling when a model fails to return a result. This is a pure backend/API service — no UI work involved. Key requirements: • Strong backend/API development skills (Python, Java, or C#) • Experience serving ML models via API (e.g. FastAPI, TorchServe, Triton, or similar) • Comfortable workin...

JOB: Computational Biologist / ML Engineer - Brain-Specific Neoantigen Prediction Tool PROJECT OVERVIEW: I am building a brain-specific neoantigen prediction tool for mRNA/LNP/PNA therapeutics. The goal is to predict which mutated peptides (neoantigens) are most likely to be presented by HLA in brain metastasis and trigger an immune response. This is a 7-stage pipeline with a defined step list. WHAT YOU WILL BUILD: Stage 1 - Data Sourcing - Search and download brain metastasis MS immunopeptidomics data from CPTAC, SysteMHC, GEO, PRIDE - Download TCGA primary tumour WES/RNA-seq (20 samples) - Download BrainMetShare brain metastasis WES/RNA-seq (20 samples) - Download GTEx normal brain expression, AFND HLA frequencies, IEDB self-antigens - Record sample metadata (source, cancer type, ance...

I’m building a computer-vision pipeline focused on reliable detection and recognition of human faces and full-body figures. The core of the job is a clean, well-documented Python implementation that can take still images or short video clips and return bounding boxes, class labels, and confidence scores for each detected person. I already have test media and the computing environment; what’s missing is the detection logic itself—ideally leveraging familiar libraries such as OpenCV, TensorFlow, PyTorch, or a proven YOLO/SSD variant. Accuracy on varied lighting and crowded scenes is more important to me than sheer speed, but the code should still run in real time on a modern GPU. Deliverables • Python source code with clear inline comments • Pre-trained weig...

I need a web application to predict Indian stock market index movements (Up, Down, or Sideways) in real-time using Random Forest and LSTM algorithms. Data Sources: - Historic stock prices - Technical indicators - Option chain OI data - PCR data Features to Consider: - Volume data - Option chain OI data Ideal skills and experience: - Proficiency in Random Forest and LSTM - Experience in real-time prediction systems - Strong background in stock market data analysis - Web application development skills Please include relevant work samples in your bids.

I’m looking to turn our scattered know-how—hundreds of PDFs, policies, detailed reports, emails, meeting minutes, and assorted documentation—into a single Retrieval-Augmented Generation assistant that answers questions instantly and finds the exact source passage behind every reply. What I already have in mind • Ingestion pipeline that automatically pulls new or updated PDFs, email archives, and other internal files, cleans the text, and embeds it in a vector store (FAISS, Pinecone, or a similar tool). • A lightweight search layer so staff can type a query and receive both a concise answer and the ranked source documents. • Chat-style interface (web or Slack/Teams bot) backed by an LLM with citations, guardrails, and role-based access. • Modular...

My manuscript on temperature prediction with a Bidirectional LSTM has been returned from a journal with a “major revision” decision. I want to submit a polished, fully compliant revision that answers every reviewer comment and tightens both the science and the prose. The current file is in Word, so all editing should be done with Track Changes enabled. I will supply the reviewers’ reports, original figures, datasets, and any code snippets you may need to replicate or clarify results. Here is what I expect: • A carefully rewritten Word document that integrates the reviewers’ suggestions while preserving my voice and technical accuracy. • Clear explanations—inserted as comments—showing where and how each reviewer point was addressed. &bul...

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Build real-time fraud scoring for Swift Tech Co.'s FinTech clients, models that have to catch fraud without declining a real customer's legitimate transaction. Responsibilities • Build and tune real-time transaction fraud-scoring models • Design rule-based fallback logic for cases a model shouldn't decide alone • Investigate false positives and tune thresholds against real transaction data • Work with compliance staff on FINTRAC-aligned reporting for confirmed fraud

Tengo un sistema de automatización ya operativo y necesito a alguien que lo lleve al siguiente nivel. La base está construida en Python y OpenCV, comunicándose con un ESP32; todo corre sin errores, pero falta completar la lógica de detección de objetos y la contabilización de productos. Lo que requiero: • Ajustar y optimizar el modelo de detección de productos (actualmente uso OpenCV + Python). • Implementar el conteo automático de cada producto que aparezca en la cámara. • Enviar el resultado al ESP32 a través de la interfaz existente para que el microcontrolador lo procese. • Dejar el código limpio, documentado y con instrucciones rápidas para volver a entrenar o cambiar el ...

I am looking for an experienced Python and Machine Learning developer to build an AI-based bias correction model for WRF 2-meter temperature (T2m) forecasts. Historical data will include WRF forecasts and observed temperatures from weather stations . The goal is to train a model to predict forecast bias and produce corrected temperature forecasts.

I run several AI initiatives that revolve around computer-vision pipelines, and I need an adaptable hand to keep our image data in perfect shape before it ever touches a model. Your main focus will be classic machine-learning groundwork: pulling raw image assets from cloud storage, auditing their quality, handling augmentations, labeling inconsistencies, and packaging everything into tidy, well-documented datasets that flow straight into our training scripts. Most tasks live in the data-preprocessing and cleaning stage, so you should be comfortable writing reproducible code for resizing, normalization, class-balancing, and automated sanity checks. We currently use Python with Pandas, NumPy, OpenCV, and sometimes Albumentations; if you have a favorite toolkit that speeds things up, I am op...

I’m looking for an experienced AI/Software Engineer to work on NL2Repo and repository-level coding tasks. The work involves translating natural-language requirements into changes to existing code repositories, including implementation, testing, debugging and validation. Before hiring, I need to review relevant previous work. Please send 1–3 strong samples showing experience with NL2Repo, SWE-bench, coding agents, repository-level code generation, automated code repair, or similar projects. Please include: * Your role in the project * GitHub/demo/patch if available * Technologies/tools used * Brief explanation of what you built Please don’t send unrelated portfolio work. I’m specifically looking for real repository-level engineering experience.

I am ready to commission a full-length, original research manuscript in artificial intelligence / machine learning that is suitable for submission to a Scopus-indexed, SCI-listed journal. At this stage I have no fixed problem statement, so I will rely on you to help shape a strong, publishable research question, design the methodology, run the experiments, and craft the paper end-to-end. Note : Apply only if you have a good publication record. Key deliverables • 2-3 complete manuscript (abstract through references) ready for journal submission • All code, datasets or preprocessing scripts required to reproduce the results • A concise response letter template explaining originality, significance and potential reviewer concerns Acceptance criteria will be clarity ...

I want to build an AI that can take any text prompt I feed it and return a lively, cartoon-style image. The core of the work is training or fine-tuning a model so it consistently produces bright, clean, character-driven artwork rather than photorealistic renders. I am open to the underlying architecture—whether that is a custom GAN, a diffusion approach, or a tailored Stable Diffusion pipeline—but the final results must read unmistakably as “cartoon” at first glance. To help me choose the right partner, send a detailed project proposal that walks me through your planned workflow: data collection or augmentation strategy for cartoon images, model selection, training schedule, expected hardware needs, and how you will package the finished system for everyday use (com...

I want to guide a small group of absolute beginners all the way to the point where they can land an entry-level role in AI, machine learning and generative AI. To get there, I’ll need a mentor who can design and deliver a complete learning journey—covering core theory just enough to ground them, then pivoting quickly into hands-on coding, model training and project work that showcases real-world skills. Here’s what I’m expecting from you: • A clear, modular curriculum that progresses from Python basics through classic machine-learning workflows and on to modern generative models (GPT-style LLMs, diffusion, etc.). • Live or recorded sessions with practical demos, Jupyter notebooks and datasets my trainees can keep experimenting with after class. •...

I have a clean, ready-to-use Iris dataset and need a complete Support Vector Machine classification pipeline built around it. The job is straightforward: tune an SVM (scikit-learn or similar) to separate the three Iris species, document the process, and hand over reproducible code and results. Here’s what I expect: • A concise notebook or script that loads the data, performs any minimal preprocessing you find beneficial, runs hyper-parameter optimisation, trains the final model, and outputs accuracy, precision, recall and the confusion matrix. • A short write-up (markdown inside the notebook is fine) explaining why the chosen kernel and parameters work best, plus any insights you notice in the feature space. • Saved model file so I can deploy or reload it quickl...

I need a standalone Windows application that bundles a local GPT-style language model with a voice layer powered by Google Assistant. The workflow is simple: I open any PDF, the model ingests it locally, and then—through voice alone—I can ask questions about the document and get spoken answers back. Key points I must see working: • Runs entirely on Windows without needing command-line setup. • Uses the Google Assistant voice interface for both input and spoken output. • Processes PDFs offline: the text is extracted, fed to the model, and retained only on my machine. • Voice queries such as “What is the author’s main argument on page 5?” return an accurate, concise spoken answer within a reasonable response time. I’m open to wh...

I’m building out a series of AI-driven features and need an engineer who can step in wherever the development cycle demands— from early-stage prototyping to production deployment. The exact focus is still open, so you’ll help me evaluate whether classic machine learning, natural language processing, or computer vision best fits each feature we prioritise. Here’s how I see the collaboration: • Work with me to clarify the first use-case, audit the data I already have, and outline any additional collection or labelling steps. • Design a model architecture suited to that problem, train and validate it, then document performance clearly enough for non-technical stakeholders. • Package the solution into clean, modular code (Python preferred) with stra...

The statistical groundwork is finished: 106,000+ football matches and more than 48 million individual odds movements are already structured, cleaned, and sitting in Python-ready data stores. What I need now is a fresh layer of intelligence that can group the patterns and pick up on the regime shifts as they occur —specifically, to surface the hidden structures that govern betting-market behaviour. This regime detection will challenge you immmensely but also matering it can provide enormous opportunity - are brave enough and smart enough to challenge the status quo?We have all the ground work laid and there is no statistical obvious deviation that favors the bet placer ONLY the BOOKIE over 106K of matches - and recent one months anlaysis - there is no ground work to be done only for y...

I'm seeking an expert to help with a research paper on AI/ML in healthcare to get published in IEEE conference as well as reputed journals Key requirements: - In-depth knowledge of AI/ML, especially in predictive analytics. - Experience with healthcare datasets, particularly patient medical records. - Strong research and writing skills. Ideal skills include: - Good research profile. - - Ability to present complex ideas clearly and concisely.

The aim of this early-stage project is to design a multilingual media-monitoring pipeline that blends AI-driven text mining with human foreign-policy expertise so we can anticipate policy shifts before they surface officially. I already know the broad contours—coverage must span almost all languages relevant to the regions under study, while drawing from mainstream news outlets, official government releases and authoritative expert commentary. What I need now is a small, cross-disciplinary group comfortable with media monitoring, foreign-policy analysis and-or modern AI / machine-learning techniques (NLP, topic modelling, LLMs, classification workflows in Python or R). Together we will review and refine: • the critical sources in each language and define ingestion method...

Remote Sensing + AI/ML Model for Identification of 10 Major NTFP Species in Jharkhand, India We are looking for an experienced "Remote Sensing / Computer Vision / Geospatial AI developer" to develop or fine-tune an AI/ML model capable of identifying and mapping "10 major Non-Timber Forest Product (NTFP) tree species in Jharkhand, India" using remote sensing imagery. Target Species 1. Sal 2. Mahua 3. Kusum 4. Tamarind 5. Kendu 6. Palash 7. Chironji 8. Amla 9. Harra 10. Bahera Objective The objective is to develop a reliable workflow that can identify these species from remote sensing data and ultimately generate a **species-wise tree inventory/map**, including tree locations and counts. Scope of Work We are open to either: Developing a new model from scratch or F...

*السيرة الذاتية المعدلة: *مطور مستقل متخصص في التعلم الذاتي المدعوم بالذكاء الاصطناعي* **نبذة عني:** شخص منضبط ومتحمس للتطوير الذاتي والمهني، أمتلك شغفاً مستمراً بالتعلم الذاتي واكتساب المعرفة من المصادر المتخصصة. أعتمد منهجية شخصية تجمع بين القراءة التحليلية وإدارة المعرفة باستخدام أدوات الذكاء الاصطناعي، مما يمكنني من تحويل المحتوى إلى مناهج تعليمية منظمة وخرائط مفاهيمية. **المهارات الرئيسية:** - التعلم الذاتي وإدارة المعرفة بالذكاء الاصطناعي - أساسيات البرمجة (Python) - التصوير الفوتوغرافي - صناعة المحتوى التعليمي - تعليم اللغة الإنجليزية - الانضباط الذاتي والتخطيط اليومي **الاهتمامات:** - تطوير الذات وعلم النفس - التكنولوجيا والذكاء الاصطناعي - اللياقة البدنية (Calisthenics)

I'm looking for a senior developer with hands-on experience defeating Arkose Labs FunCaptcha (specifically the newer game variants such as hopscotch_highsec / hopscotchv3) in a headless / API-based pipeline. ▎ ▎ I already have a working Node.js codebase that: ▎ - Mints Arkose tokens via a real-Chrome TLS client (bogdanfinn) ▎ - Rotates residential proxies + BDA fingerprints per attempt ▎ - Uses commercial classifiers (YesCaptcha, OmoCaptcha, ) ▎ ▎ The pipeline reaches the challenge-submit step consistently, but the classifiers we use are giving low-accuracy answers on the newer navigation-style variants, so we're getting solved:false on the final wave. ▎ ▎ What I need help with: ▎ - Diagnosing whether the failure is truly answer-quality vs a deeper trust/suppression issue ▎ - Imp...

I’m looking for an experienced **AI trainer/mentor** who can provide structured, one-to-one online training and help me progress from AI fundamentals to practical, job-ready skills. The objective is not simply to complete a course or learn theory. I want to **understand AI concepts clearly, gain hands-on experience through practical projects, and develop skills that I can confidently demonstrate during job interviews**. The training should be beginner-friendly and gradually progress from fundamentals to more advanced and practical topics. ### Learning Areas The training should cover: **1. AI Fundamentals** * Artificial Intelligence concepts and terminology * How modern AI systems work * Real-world AI use cases * AI models, data, training and inference * Responsible AI, governan...

I need an AI system that can identify computer devices such as PCIE ISA PCI AGP for a pick and place machine. The AI doesn't need to have a high level of precision; an accuracy of less than 80% is acceptable. Skills and experience ideally suited for this job include: - Proficiency in AI and machine learning - Experience with computer vision and image recognition - Knowledge of computer components - Ability to develop a system with basic accuracy level (<80%) - Understanding of pick and place machines/Robotic arms - working with video machine learning - Robotics

Sessions will revolve around linear algebra, calculus, and probability as presented in the open-access text , always tying theory back to practical machine-learning use-cases. I am a Beginner and progress fastest through Kinesthetic (hands-on activities), so each concept should be paired with worked examples, code snippets in Python or MATLAB where relevant, and plenty of guided problem practice. What I need from you • Live, interactive lessons that unpack the core ideas behind vectors, matrices, multivariable calculus, limits, derivatives, integrals, random variables, and distributions, then connect them to algorithms such as gradient descent, PCA, and logistic regression. • Custom practice sets after every session, plus detailed walk-throughs of the solutions. • Bri...

Sessions will revolve around linear algebra, calculus, and probability as presented in the open-access text , always tying theory back to practical machine-learning use-cases. I am a Beginner and progress fastest through Kinesthetic (hands-on activities), so each concept should be paired with worked examples, code snippets in Python or MATLAB where relevant, and plenty of guided problem practice. What I need from you • Live, interactive lessons that unpack the core ideas behind vectors, matrices, multivariable calculus, limits, derivatives, integrals, random variables, and distributions, then connect them to algorithms such as gradient descent, PCA, and logistic regression. • Custom practice sets after every session, plus detailed walk-throughs of the solutions. • Bri...

I am a founder of mobile app development and website building ,TheTechnoEra, I take projects from my clients and delegate to freelancers and supervise it. I need a reasonable Developer team preferrbly based in India, Delhi-ncr (preferred) to work with me on project basis. ## Build a Long-Term Project-Based Software Development Team NOT looking for one person who claims to be an expert in everything, contact only if you have a team and you are very reasonable. I want to build a small network of highly skilled specialists who can work together on projects depending on the requirements. ### 1. SENIOR FULL-STACK DEVELOPER / SOLUTION ARCHITECT — PRIORITY We are looking for a senior developer who can take business requirements and convert them into a proper technical solution. Requir...

I want to build an AI-driven module that sits alongside my existing trading setup and delivers continuous, real-time risk assessment for both the forex and cryptocurrency markets. The goal is simple: every open position and pending order should be evaluated second-by-second so I immediately see my true exposure and can take action before a drawdown spirals. Here’s what matters most to me: • Real-time risk assessment is the entire focus. Position sizing, margin usage, volatility spikes, correlation shifts, and news shocks all need to feed straight into the model so it can flag elevated risk instantly. • The first release only has to cover forex and crypto. If your architecture is flexible enough to extend into stocks later, that’s a plus but not required right now...

Machine Learning Pipeline – Job Market Analytics & Salary Prediction Created an end-to-end machine learning pipeline for looking at job market data and guessing what salaries might be. Key Features: Worked on. Fixed 10,000 or more job-market records using Python, Pandas and NumPy. Made an automated ETL/data preprocessing pipeline to take care of data cleaning, changing data making it all the same and checking if it is all the same. Added a PostgreSQL (Neon) database to keep data in a good way and help with machine learning work. Did analysis of the data. Looked at the features to find what helps predict salary. Trained a Random Forest regression model to guess salaries. Found that employee_residence is one of the things to use for guessing salaries. Built a Fas...

I'm looking for a skilled developer to create both an agent-based simulation and an AGI system. Requirements: - Develop a comprehensive agent-based simulation. - Design and implement AGI with advanced cognitive abilities. - Integrate both systems for seamless interaction. Ideal Skills & Experience: - Expertise in AI and simulation technologies. - Proven experience in AGI development. - Strong programming skills in relevant languages. Please submit detailed project proposals.

I’m looking for an experienced **AI trainer/mentor** who can provide structured, one-to-one online training and help me progress from AI fundamentals to practical, job-ready skills. The objective is not simply to complete a course or learn theory. I want to **understand AI concepts clearly, gain hands-on experience through practical projects, and develop skills that I can confidently demonstrate during job interviews**. The training should be beginner-friendly and gradually progress from fundamentals to more advanced and practical topics. ### Learning Areas The training should cover: **1. AI Fundamentals** * Artificial Intelligence concepts and terminology * How modern AI systems work * Real-world AI use cases * AI models, data, training and inference * Responsible AI, governan...

I have a time-series collection of remote sensing data—specifically multi-spectral satellite imagery—and I need an AI model that can reliably pinpoint and quantify changes that occur from one acquisition date to the next. The end goal is an automated workflow that flags where and when significant alterations appear, whether those are shifts in vegetation, newly built structures, or other surface transformations. To give you an idea of scope, the raw scenes are already orthorectified and radiometrically corrected. What I’m missing is the machine-learning layer that will take two (or more) aligned images, learn the patterns of normal variability, and then output clear, georeferenced change masks and summary statistics. Key expectations • Model architecture, trainin...

I need a purpose-built software package that lets me run my CNC‐based 3D printers from a single, intuitive interface. The focus is on day-to-day control and operation rather than design work: loading G-code, managing multi-axis motion, optimizing toolpaths on the fly, and keeping a constant eye on temperatures, feeds, and sensor feedback without pausing a job. The machines on my floor vary, so the application has to drive everything from a straightforward FDM gantry to more complex SLA and SLS setups. That means kinematics for rotary or additional linear axes, stepless speed changes, and smart re-slicing or re-planning if a collision or out-of-range condition is detected. Real-time monitoring is non-negotiable; I want live dashboards that surface spindle speed, laser power, material flow,...

I am looking for someone with experience in LLM for 10 minute question

I have hours of CCTV footage from 5-a-side and 7-a-side turf matches and I want an end-to-end computer-vision pipeline that turns every recording into clear, per-player metrics. The system must treat fitness and football performance with equal weight. For fitness I care most about minutes played, distance covered and calories burned; for football performance the priorities are goals and shots. Anything else you can derive is welcome, but these numbers must be rock-solid. What I expect you to build • A repeatable pipeline that ingests raw CCTV video, detects and re-identifies each player, tracks their movement through the entire match and exports a CSV/JSON report plus simple visual overlays. • Fitness layer: automatic calculation of minutes on pitch, total distance, speed p...

I need an experienced AI/full-stack developer to build a cricket betting market analysis web app. The main purpose is to assess whether current bookmaker odds accurately reflect the real probability and strength of each team, and to identify potential market overreactions and value opportunities. The app should combine live and historical cricket data, including player statistics, team performance, match situations and bookmaker odds. It should analyse the data and provide clear signals showing when the market may be overreacting and when the available odds may differ significantly from the estimated true probability. The dashboard should be clean and simple, with easy-to-understand charts, probability comparisons, confidence levels and explanations for each signal. Key features should...

I’m working through a graded assignment for my Data Science & AI course and need an expert hand with the assignment portion. The task isn’t massive, but it does require someone who can walk me through each step, provide clean, well-commented code (Python preferred), and explain the reasoning in plain language so I can confidently discuss the approach later. What I’ll need delivered: • A reproducible notebook or script that tackles the assignment requirements from data preprocessing through model evaluation • Brief inline comments plus a short write-up (one page is fine) summarizing methods, key metrics, and why those choices make sense • A quick call or chat after delivery so I can clarify any points before submission If that sounds straightforwa...

We are looking for freelancers from the USA and LATAM regions to participate in a large-scale egocentric (first-person point-of-view) video collection project focused on capturing genuine household and industrial activities. The collected footage will help train and improve AI/ML models related to human activity recognition, hand-object interaction, robotics applications, and real-world scenario understanding. Participants will be compensated at $10 per approved video hour for USA contributors and $7 per approved video hour for LATAM countries contributors. Freelancers will record themselves performing real-world household and industrial activities, including cleaning, organizing, maintenance, logistics, retail, agriculture, manufacturing, construction, automotive services, and other wo...

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...