Machine Learning (ML) Jobs

Work Zone Digital Twin — Pipeline Testing, Validation & Bug Fixes Project Overview We have a completed 11-stage Python pipeline that converts dashcam video and GPS/IMU telemetry into a top-down map of highway work zone assets (cones, drums, signs). The pipeline is built and running end-to-end. We need an engineer to test it thoroughly, validate outputs, and fix remaining issues. Pipeline Summary 11-stage offline pipeline: Stage 1-3: Telemetry preparation, keyframe extraction, video/GPS sync Stage 4: COLMAP sparse SfM reconstruction Stage 5: Metric scale alignment (GPS + physical reference measurement) Stage 6-7: Manual and auto annotation tools (browser-based) Stage 8: Multiview triangulation of asset 3D positions Stage 9: Taper ordering and work zone measurements Stage 10: Grou...

I’m building an end-to-end healthcare application that blends AI-driven diagnostics and analysis, robust patient-management features, and forward-looking predictive analytics. The system must learn from three primary data streams—electronic health records, medical imaging, and genetic information—while remaining HIPAA-compliant throughout the pipeline. The finished solution has to feel seamless on every major channel: a responsive web interface, companion mobile apps (iOS and Android), and a lightweight desktop client for Windows and macOS. Whichever framework you prefer—React or Angular for the web, Flutter, React Native or Swift/Kotlin for mobile, Electron or .NET MAUI for desktop—choose what lets you move fastest without sacrificing reliability. On the ba...

I have an upcoming online computer-science test that concentrates on programming. The platform will present timed questions, mostly in Python with a few that may require work in R Studio. I need a reliable, fast thinker who can stay online with me throughout the session, supply accurate code or concise explanations on demand, and keep the entire process strictly confidential. Deliverables • Be signed in and ready at least 10 minutes before the test window opens (exact date and time will be confirmed once we start). • Provide correct, runnable solutions in Python and R Studio as each question appears. • Remain available until the timer ends so I can clarify anything instantly. Acceptance criteria • Every answer you send must execute without errors on the te...

I need a robust computer-vision pipeline that can automatically spot and label consumer-goods products in high-resolution images captured on our manufacturing line. The goal is to distinguish each finished item from background equipment, operators, and any other visual noise so that we can feed the detections into our downstream QA and inventory systems. You will start with raw JPEGs taken under factory lighting, then design, train, and validate an object-detection model—PyTorch or TensorFlow is fine—capable of achieving consistent, real-time performance on an NVIDIA GPU. If you prefer a different framework, let me know why; I’m flexible as long as the final solution is easy for my engineering team to maintain. Deliverables • Annotated sample dataset (in COCO or ...

I need a retrieval-augmented large-language-model that can (1) suggest differential diagnoses, (2) explain conditions and treatments in plain language for professionals and patients alike, and (3) surface novel insights to accelerate ongoing research projects. The scope is intentionally broad—chronic diseases, infectious diseases, and mental-health conditions must all be handled with equal rigor. The system will ingest three primary data streams: peer-reviewed medical literature, de-identified patient health records, and curated clinical-trial datasets. I already have secure access paths for each source; what I lack is the unified pipeline that cleans, embeds, and indexes the content so the model can ground every answer in verifiable evidence. Python, LangChain (or comparable orche...

Research Participant Needed: Remote Gig Workers for Academic Text Interview (Cambridge Sociology Research) Hi there, I’m Yuxia Ren, a Master’s student in Sociology at the University of Cambridge, currently conducting research on labour mobility and worker power among remote gig workers. Specifically, how you interact with the platform reputation system (e.g., star ratings, feedback scores), your labour mobility (how you find, switch, or retain gig work platforms based on your reputation), and your perceptions of worker power. This study is for my academic dissertation only (no commercial use), and I’m seeking gig workers to share their honest insights via an asynchronous text interview. Who I’m Looking For: Current remote gig workers (active on platforms like Upw...

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I want to build a robust machine-learning pipeline that can reliably predict when a user is likely to log on again. The core need is a production-ready model—deep-learning is welcome where it adds value—that captures behavioural signals and translates them into accurate logon-probability scores. You will work with the raw system logs I can provide (time-stamped events, account metadata and any other fields you advise extracting). Starting from exploratory data analysis, we will move through feature engineering, model selection, hyper-parameter tuning and final evaluation. I am especially interested in interpretable insights alongside raw accuracy, so attention to explainability techniques such as SHAP or LIME is appreciated. Deliverables • Clean, well-commented Python ...

I am seeking an experienced machine learning professional to train and optimize models tailored to my specific problem. The primary focus is to identify and resolve issues in my current work, such as data leakage, while proposing and training the best model suited for accurate pest detection. The freelancer should also have expertise in user behavior analysis and sequence data to ensure a comprehensive approach to solving the problem. Key Requirements: - Identify and fix data leakage problems in the current work. - Train models specifically designed for pest detection with high accuracy. - Improve feature engineering and extract additional features if necessary. - Propose and implement the most suitable model for this task, considering user behavior analysis and sequence data. - Provide c...

We are looking to develop a modern job platform focused on making the job search and application process easier, faster, and more efficient for candidates. The platform should allow users to create and manage a professional profile with key details such as experience, education, skills, preferences, and supporting documents. Some level of intelligent profile handling and data extraction may also be required to improve the onboarding experience. The solution should include a recommendation mechanism that can suggest relevant opportunities based on multiple profile factors, preferences, and behavior patterns, with the ability to keep recommendations updated over time. Another important requirement is a simplified and partially automated application flow, where users can apply quickly usin...

ANNOTATOR JOB DESCRIPTION — Dental X-ray AI Project Title: Dental X-ray Image Annotator (Remote, Freelance) Duration: 1–2 months (extension possible) Time Commitment: Approx. 2–3 hours/day Compensation: US$ 5 Per image About the Role: We are building an AI to detect dental pulp stones and root canal complexity from dental radiographs. You’ll be annotating X-ray images using a custom GUI tool (simple point-and-click, no technical skills required after training). Responsibilities: Annotate pulp stones and canal paths on provided dental X-rays Follow exact shape, boundary, and label protocol Submit JSON or project output for each image Maintain annotation quality and consistency Collaborate via WhatsApp for feedback Requirements: Back...

I’m a complete beginner who wants to move well beyond theory and into practical, project-based learning. The journey should start with data-science fundamentals—Python, NumPy, pandas, basic statistics, data cleaning and visualization—then progress step-by-step to machine-learning models, large-language-model workflows, retrieval-augmented generation (RAG), agent frameworks, and automation best practices. Hands-on projects are essential; each topic needs to come with a small, self-contained exercise or micro-app that I can build, run, and extend. Think Jupyter notebooks, lightweight Flask or FastAPI endpoints, and scripts that hit real APIs (OpenAI, Hugging Face, LangChain, etc.). Code must be well-commented so I can retrace the logic afterward. Ideal flow • K...

Description We are building a network of specialists who help validate and improve the reliability of enterprise AI systems. Our company, , works with organisations deploying AI assistants and knowledge systems powered by large language models and RAG (Retrieval-Augmented Generation). Your role will be to review AI responses, detect hallucinations, validate grounding against source material, and help create evaluation datasets. This is not model development. This role focuses on AI quality assurance and validation. Responsibilities • Review LLM responses for factual accuracy • Identify hallucinations and fabricated references • Verify whether answers are grounded in provided documents • Detect retrieval vs generation failures in RAG systems • Score responses...

I am preparing a new round of model training and need a senior-level AI developer who can take full ownership of the data-preparation stage—especially data annotation. The core of the job is to design and implement a robust annotation workflow for a sizeable corpus of text data, then feed that clean, well-labeled material back into the training loop. You should already have hands-on experience setting up annotation guidelines, managing annotators or automation tools, and integrating the resulting labels into a machine-learning or deep-learning pipeline. Familiarity with popular NLP libraries (spaCy, Hugging Face, TensorFlow, PyTorch, etc.) will be essential, as the final objective is to boost downstream model performance by improving label quality and consistency. Deliverables &b...

We are looking for a skilled AI Engineer to join us on a freelance basis to help design, build, and deploy intelligent solutions. This role is ideal for someone who is hands-on, solution-oriented, and comfortable working independently in a fast-paced environment. Responsibilities: Design and develop AI/ML models for real-world applications Work with structured and unstructured data to build predictive or generative solutions Integrate AI models into existing systems and workflows Optimize models for performance, scalability, and accuracy Collaborate with stakeholders to understand business needs and translate them into technical solutions Requirements: Proven experience as an AI Engineer, Machine Learning Engineer, or similar role Strong knowledge of Python and libraries such as Tensor...

I have a full draft of a breast cancer medical imaging study that applies reinforcement learning, and I want it polished to Q1/Q2 journal standards within the next month. The manuscript already contains all experiments and figures; however, the Methods and Materials section would benefit from a more rigorous and clearly structured explanation of the reinforcement learning framework, data acquisition, preprocessing pipeline, training protocol, and statistical validation. In addition, I will revise the entire manuscript, with particular emphasis on strengthening the Introduction and Related Work section. This includes improving the depth of literature analysis, providing a more structured comparison with existing approaches, and clearly highlighting the research gap and the novelty of the p...

I need a facial recognition system integrated into drones for secure delivery services. The system is essential for verifying identities and ensuring secure access to delivery points. Key Requirements: - Develop a robust facial recognition algorithm. - Integrate the system with drone technology. - Ensure real-time processing and accuracy. - Provide a user-friendly interface for monitoring. Ideal Skills and Experience: - Expertise in AI and machine learning. - Experience with drone technology. - Background in security systems. - Strong software development skills. Looking for candidates who can deliver ASAP.

I need a facial-recognition module that lets each of my delivery drones confirm a recipient’s identity before a package is released. The goal is simple: the aircraft hovers, points its camera at the person waiting below, and—within a fraction of a second—decides whether it’s safe to drop the parcel. Here’s what the system must do: • Detect and recognise faces in real time from a moving drone, outdoors, in daylight or at night. • Run on a light edge device carried by the drone (Jetson Xavier NX or similar) or stream efficiently to a ground server if you have a smarter approach. • Expose a clean API that returns the recognised ID, confidence score, and a yes/no flag my flight-control software can act on. • Allow me to enrol new authori...

I want to build a web-based expense manager that focuses on one crucial ability: automatically placing every transaction into the right category using AI/ML. No mobile clients are needed right now; the entire experience lives in the browser. Here’s the workflow I have in mind. I type in, paste, or import a bank CSV; the system predicts the category—groceries, rent, travel, etc.—with high accuracy. Whenever I correct a mistake the model should quietly learn, getting smarter the more I use it. A clean dashboard will then let me filter, search, and see totals by category. I do not need budget tracking or receipt scanning in this first release. The tech stack is open. React, Vue, or Svelte on the front end are all fine, and I’m equally happy with a Python (Flask/FastA...

I am subscribed to Google Colab Pro+, and I want to train an AI model with agents to build a system capable of solving complex and unique CTF challenges.

I have collected hundreds of standard photographs of hands in many poses and from many people. Nothing is uniform: skin tones, hand sizes, lighting, backgrounds, and even finger counts may vary. The goal is to turn this dataset into a practical analysis tool that can: • calculate the flexion/extension angle at every finger joint in each image • flag when a finger or phalanx is completely absent so that it can be recorded automatically I expect you will combine classical computer-vision preprocessing with a deep-learning model (PyTorch or TensorFlow are fine) and possibly leverage pose-estimation libraries such as MediaPipe or OpenCV for landmark detection. Accuracy matters more than perfection in lighting or background, so robust data-augmentation and domain-adaptation tech...

We want to use the existing data and use other concepts for data augmentation compared to what we have now. Then we want to retrain the machine learning model.

I’m building an NLP-driven, multimodal assistant that accepts text, image, and audio inputs, but its replies still drift into hallucination. The goal is straightforward: sharpen response accuracy so the system stays firmly grounded in fact. Right now the core pipeline is a Hugging Face Transformer model wrapped in a Retrieval-Augmented Generation (RAG) layer. I need you to audit the entire flow, diagnose where and why hallucinations appear, and then apply proven mitigation techniques. That could involve prompt engineering, better retrieval logic, truth-focused data augmentation, fine-tuning, or introducing guard-rail frameworks—whatever combination delivers measurably higher factual precision. Deliverables • A revised model or inference pipeline that demonstrably impro...

I have a growing archive of high-resolution intraoral photos and I need an AI mechanism that can automatically locate every tooth in each image, assign the correct FDI or Universal numbering, and clearly classify each tooth type (incisor, canine, premolar, molar, wisdom). You are free to decide whether a pre-trained or custom-built model is best; accuracy and speed matter more to me than the underlying brand of framework. Python with PyTorch or TensorFlow, OpenCV for preprocessing, and a clean REST or CLI inference interface would suit my workflow, but if you have a more elegant stack, I’m open. Key deliverables • A trained model capable of processing new intraoral 3d scans and returning JSON with tooth positions, numbers and classes. • Lightweight script or API e...

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I have a dataset made up entirely of categorical variables and I want to understand the hidden relationships inside it. The task is strictly exploratory: I am not asking for predictive modelling, only a deep dive that surfaces meaningful patterns and trends. What I expect from you • Clean the data where needed so that the exploratory work is reliable. • Use suitable techniques for categorical exploration—cross-tabulations, chi-square tests, association rules, clustering on encoded variables, or any other method you feel is insightful. • Present the findings in clear, non-technical language supported by concise visuals (bar charts, heat-maps, mosaic plots or similar). • Provide a short, well-commented notebook or script (Python with Pandas, NumPy, SciPy, s...

I need a complete, ready-to-run video analytics tool that flags car-collision accidents in city-surveillance footage. The workflow must stay simple for the end user: they upload a clip, hit “Analyze,” and, within seconds, the screen returns something like: Accident Detected: YES Severity: HIGH (low | medium | high) Confidence: 92 % Time-stamp: 00:12 Key points to build in • Scope of detection: only car collisions; no pedestrian or bicycle tracking at this stage. • Source footage: city CCTV style feeds (fixed street-level cameras). • No real-time push notifications are required—the result can appear once processing is finished. I will rely on you to select or curate a robust, publicly available dataset (or a combination of datasets) that...

I’m looking for a proven team to configure and secure an AI-driven open-claw system from end to end. The build must meet industrial safety standards, pass every functional test, and be ready for immediate deployment once delivered. My key requirements are simple but non-negotiable: • You already hold 1,000+ verifiable reviews demonstrating consistent, high-quality work. • Your operation is based in the United Kingdom or Pakistan, as quick on-site or time-zone-aligned collaboration may be required. Scope of work 1. Evaluate my current hardware plans and confirm compatibility with your preferred AI control stack. 2. Implement the full claw control logic, fail-safe routines, and sensor feedback loops in a maintainable codebase. 3. Provide a clear, device-level sa...

I need an AI Expert to help me in my Project, within a month. I have carried out the Analysis part of the Project. The AI person needs to recommend a relevant Model and help with 'how to do' part. This is based on a medical istrument performance analysis.

Project Reference: Cluely-like AI Assistant Analysis ________________________________________ 1. Document Overview 1.1 Purpose This document provides a detailed analysis of a Cluely-like AI assistant application, focusing on: • Functional capabilities • System architecture • Behavioral patterns • Stealth mechanisms The goal is to support the development of a detection and prevention system for such applications. ________________________________________ 2. Business Requirements (BRD) 2.1 Objective Develop an AI-powered assistant that: • Captures live conversations (audio/system input) • Transcribes speech in real time • Provides contextual AI-generated suggestions during conversations • Generates post-session summaries and insights ___________...

Pro java & springboot developer Comfortable with AI and LLMs etc

I’m building a smart fitness companion that adapts every workout to how much discomfort a user is feeling that day. The core of the product is an algorithm that generates personalized plans, asks the user to rate their pain on a simple in-app scale, and then adjusts intensity, exercise selection, and rest periods automatically. Over time it should learn from completed sessions and update routines while presenting clear progress trends so the user can see where they’re improving without aggravating problem areas. Here’s what matters most: • Personalized fitness plans generated by AI. • Live pain-level monitoring through self-reported scales (no wearables in the first release). • Visual progress tracking that highlights correlations between pain scores...

I am building a cinematic blast sequence and need solid data-driven support rather than eye-balling particle emitters. The idea is to run an AI/ML simulation that predicts how metal, glass, concrete, wood and plastic fragments fly away from the detonation point, then turn those numbers into clear data-visualisation charts I can hand directly to the FX team. Scope • Direction, speed and distance must be predicted separately for each material class, following the colour code I already use on set (red = metal, blue = glass, grey = concrete, orange = wood, green = plastic). • The charts have to highlight the mean and standard deviation for every variable so the artists immediately see the “typical” trajectory as well as the natural spread. Other metrics such as perce...

We seek collaboration from responsible professionals to develop a tool for our Controls, process automation use () that will be used in conjunction with our websites by our sales folks. Our sales team has been using several sales tools & we like to replace them with our own customized tool - which is the reason for this post. We shall own all the work you will develop or use for development. The attachment provides the detailed work scope for you. Include some reasonable time for training our folks about your work (so we can maintain) & warranty for 3 months after final acceptance, deployment. Submit relevant response to our JD only with relevant examples of work done in the past by you for satisfied clients. If no relevant examples are submitted, we shall assume you have not done ...

I need a clear, evidence-based report that compares the performance of today’s most widely cited object-detection algorithms. The focus is strictly on Computer Vision, zeroing in on Object Detection, and the core goal is to evaluate how the main approaches stack up against each other in terms of accuracy, speed, computational cost, and real-world suitability. Scope • Analyse at least three state-of-the-art methods—think Faster R-CNN, SSD, YOLO (v7/8), DETR or similar. • Draw all claims from peer-reviewed journals, top-tier conference papers, or authoritative benchmark leaderboards (e.g., COCO, PASCAL VOC). • Present metrics consistently (mAP, FPS, FLOPs, params, latency) so direct comparison is effortless. • Highlight strengths, weaknesses, and trad...

I need a clear, evidence-based report that compares the performance of today’s most widely cited object-detection algorithms. The focus is strictly on Computer Vision, zeroing in on Object Detection, and the core goal is to evaluate how the main approaches stack up against each other in terms of accuracy, speed, computational cost, and real-world suitability. Scope • Analyse at least three state-of-the-art methods—think Faster R-CNN, SSD, YOLO (v7/8), DETR or similar. • Draw all claims from peer-reviewed journals, top-tier conference papers, or authoritative benchmark leaderboards (e.g., COCO, PASCAL VOC). • Present metrics consistently (mAP, FPS, FLOPs, params, latency) so direct comparison is effortless. • Highlight strengths, weaknesses, and trad...

Overview We’re looking for a US-based software engineer with AI experience who can help us secure and manage client opportunities. Your main role is simple: You’ll get jobs and communicate with US-based clients, attend calls, and represent projects. Our internal team will handle the actual development work. Responsibilities - Get relevant AI/software roles or freelance projects - Join client calls and represent the project professionally - Understand client needs and communicate them clearly - Act as the main point of contact throughout the project - Coordinate with our internal engineering team Requirements - Based in the United States - Background in software engineering (AI/ML preferred) - Strong communication and client-facing skills - Comfortable leading calls and discu...

I’m building a small-scale tool that can turn any written prompt into a high-quality, anime-style cartoon illustration of a human character. The look should lean unmistakably toward modern anime rather than Western comic or classic Disney, with attention to clean linework, vibrant cel shading, and expressive facial features. Here’s what I need from you: — A reproducible AI workflow (Python script, notebook, or GUI wrapper) that accepts a text prompt and returns a 1024×1024 PNG in the requested anime style. — Either a fine-tuned Stable Diffusion / SDXL checkpoint, LoRA, or an equivalent open-source model ready for local inference, along with clear setup instructions. — Example prompt templates that highlight how to control pose, lighting, background,...

I need a set of modular Python scripts that bring machine-learning intelligence into my network-monitoring workflow. The primary goal is to spot malware traffic in real time, analyse it on the fly and trigger an automated response that contains or blocks the threat without manual intervention. Scope of work The solution should ingest live packet data (pcap, NetFlow or similar), run it through an AI/ML model trained to recognise malware signatures and behavioural anomalies, and then decide—within seconds—whether to raise an alert, quarantine the source or execute a predefined remediation playbook. Beyond simple flagging, I also want deeper malware analysis so I can review payload characteristics and produce short forensic reports. Required deliverables • Clean, well-d...

I’m expanding our skilling programme and want an expert who can design, build, and thoroughly test a hands-on AI/ML curriculum. The core of the course will revolve around agentic applications and production-grade Python, with every lab and capstone project deployed to AWS. An intermediate command of the AWS stack—think SageMaker, Lambda, ECR, CloudFormation, and the new AI-powered CodeWhisperer/Copilot workflows—is preferred, while experience across the full-stack (React, Node, Docker, CI/CD) will help you weave modern software engineering practices into each lesson. Your day-to-day will include: • Crafting a coherent learning path, slide deck, and detailed instructor notes • Building labs, automated tests, and grading scripts that run seamlessly in AWS &bu...

I am building an AI-powered assistant for our campus that can understand students and staff no matter how they reach out—typed messages, spoken questions, or even photos of notice boards and forms. The core job is to create the full conversational system, wire it to our existing data sources, and make sure it remembers context across an entire back-and-forth so users never feel they are starting over. What the bot must handle • Course information, timetables, and key dates • Event details and real-time updates • A searchable staff directory with contact methods • Personal student info that sits behind login (e.g., enrollment status, fees) Essential capabilities • Accept text, convert voice to text (and optionally reply with TTS), and extract text ...

Flux Hub is an operational data ecosystem for mid-market companies (€2M–€50M revenue). We are building a rapid-response freelance pool for ongoing client projects. We need freelancers in these roles: Role What you will do BI / Looker Studio Developer Build dashboards, ETL pipelines, data blending Data Analyst (SQL + Python) Data cleaning, transformation, exploratory analysis No-code Specialist (Make / n8n) API integrations, workflow automation ML Engineer (light models) Time series forecasting, predictive maintenance Requirements: Proven portfolio (attach links or files) Response time under 12 hours Fluent English (technical documentation level) Ability to sign NDA What we offer: Regular project flow (starting 1–2 projects per month) Fast payment (within 5 da...

Customer Churn Analysis & Prediction Project Overview Conducted an end-to-end Customer Churn Analysis project to identify patterns and predict customer attrition. Focused on both data exploration (EDA) and machine learning modeling to generate actionable business insights. Aimed to help businesses reduce churn, improve customer retention, and increase profitability. Dataset Details Dataset includes customer demographic, financial, and behavioral features: RowNumber, CustomerId, Surname CreditScore, Geography, Gender Age, Tenure, Balance NumOfProducts, HasCrCard, IsActiveMember EstimatedSalary Target Variable: Exited (Churn Status) Tools & Technologies Python Libraries: pandas, numpy (data processing) matplotlib, seaborn (data visualization) scikit-learn (ML modeling) Advanced Te...

I plan to streamline several internal workflows with machine-learning powered automations and, in parallel, launch a tailored chatbot that reflects my brand voice. The engagement is split into two connected tracks: 1. Smart automation • Map current data flows, then design and deploy Python-based pipelines that ingest data from my CRM and analytics dashboards. • Train and tune models (TensorFlow / scikit-learn preferred) to surface predictive insights—think churn risk and high-value lead scoring—served through a lightweight API so the business team can consume results in real time. 2. Custom chatbot • Build a conversational agent (Rasa, Dialogflow, or a comparable LLM stack) able to switch context between customer support queries and basic sales q...

I'm seeking an AI/ML programmer to develop an image classification model specifically for fingerprint recognition. Key requirements include: - Expertise in image recognition and classification - Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) - Strong background in handling and processing image datasets - Knowledge of security and privacy considerations in biometric data Ideal candidates will have a proven track record in similar projects and the ability to deliver accurate and efficient models.

Long term developer needed for ongoing support, update or replace trading module and adding value to established 18 month project. REQUIRED - experience of AI with trading charts, signals, orders to digital wallet and knowledge of crypto, scraping and API Main requirment - trading module not hitting Moving Average crosses and needs fixed or replaced, so please only apply if knowledge on syncronising MA signals with VWAP and then buy/sell orders sent to wallet. also issues with scraping website. -Bot been running for about a year and agents been knocked offline. -Bot uses chart info from online dex sources via data scraping to assist coin selection process -Bot also uses AI via OpenAI to anaylse trade opportunities. -telegram function to display trade info and AI output. -hosted on 5 li...

I am preparing a quantitative study on “Inequality in participation versus visibility in online communities” . The raw material will come from one or more publicly-available Kaggle datasets; the challenge is to turn those data into a coherent, publication-level research project. Here is what I need from you: • Help me locate or combine the right Kaggle datasets, then document the download and preprocessing steps (Kaggle API, Python pandas, or R tidyverse are fine). • Define robust operational metrics for participation (e.g., post frequency, comment depth) and visibility (e.g., up-votes, follower counts, ranking on leaderboards). • Build the analysis pipeline—cleaning scripts, exploratory statistics, and the main inferential models (regression, GEE, or...

Hi, I’m working on my Master’s thesis in Electrical Engineering (Power Systems) and looking for an experienced freelancer to help complete key technical components. The project focuses on AI-based predictive maintenance for distribution transformers, combining machine learning models and optimization-based scheduling. Scope of Work: 1. Machine Learning Models Implement and finalize: Random Forest (already partially done) SVM (RBF kernel) Decision Tree (optional benchmarking) Perform: Hyperparameter tuning (GridSearchCV / RandomizedSearch) 5-fold cross-validation Performance evaluation (Accuracy, F1, AUC) 2. Data Handling & Feature Engineering Work with BRAVO dataset (15k+ samples, 16 features) Handle: Missing values (<5%) Class imbalance (SMOTE already used ~87:13 &ra...

I want to put an AI tutor in every algebra student’s pocket. To make that happen, I need you to design and code a Retrieval-Augmented Generation pipeline that can
understand a question, pull the most relevant snippets from my curated algebra textbooks, formula sheets, and problem sets, then explain the answer step-by-step with rock-solid reasoning. Here is what success looks like from my side: • A working RAG stack (embeddings → vector database → LLM) wired together with modern tooling such as LangChain, LlamaIndex, or an approach you can justify. FAISS, Pinecone, Weaviate, or similar are fine for the vector layer; OpenAI, Claude, Llama 2/3, or comparable models may drive generation. • Retrieval tuned for high recall and low latency—students should see a...

Hello, I’m looking for an experienced developer to help me build a GitHub portfolio centered around Python, DevOps, and AI/ML. The goal is to create 3–5 high-quality, real-world projects such as: ML model with deployment (API + Docker) CI/CD pipeline using Jenkins or GitHub Actions Data pipeline or ETL project NLP or anomaly detection use case I’m not just looking for finished code — I’d like clear documentation and some guidance so I can understand and explain the work confidently. Please share examples of similar work if available.