机器学习（ML） Jobs

Title Senior ML Engineer – Fine-tuning NVIDIA PersonaPlex (Helium) for Russian and Uzbek Project Description We are building a real-time voice AI assistant based on NVIDIA PersonaPlex-7B-v1. The model currently works in English. Our goal is to adapt it for Russian and Uzbek and integrate it into a voice assistant platform. We already have prepared datasets. We are looking for an experienced Speech / LLM engineer who has worked with multimodal models and LoRA fine-tuning. --- Main Tasks 1. Fine-tune NVIDIA PersonaPlex-7B-v1 for Russian and Uzbek language support 2. Train LoRA adapters for multilingual capability 3. Adapt the speech-to-speech pipeline (audio tokens + Helium backbone) 4. Integrate persona conditioning for our voice assistant 5. Optimize inference for real-time ...

I’m building a customer-facing site that lets users log in, upload their own documents, have those files processed by an AI engine, and then download or view a generated report of the findings. Here’s what I need you to deliver: • A responsive front-end with a secure sign-up / sign-in flow and a clean dashboard for uploads and report retrieval. • A backend (your choice of modern stack) that stores user data, manages file uploads of common business formats (PDF, DOCX, XLSX, etc.), queues them for analysis, and saves the results. • An AI processing module that scans each document, extracts the relevant information, and produces a structured report—format it as PDF and make it viewable inside the dashboard. • Admin tools to monitor usage, view ...

The goal is to turn long-term Reddit chatter into actionable forecasts for the equity market. Here’s the flow I need built and documented: • Data assembly   – Pull every post and comment that mentions publicly traded tickers over the past 3-5 years, using Reddit’s API (PRAW or Pushshift).   – Filter & rank tickers by daily trading volume, then lock in the top ten companies for the study.   – Store raw text, basic metadata, and a timestamp-aligned sentiment score in a clean, queryable format (Parquet or CSV). • Market reference set   – Fetch matching historical OHLCV data for those ten tickers from Yahoo Finance so each trading day can be paired with Reddit sentiment features. • Model...

Work Type: Remote (U.S. only) Employment Type: Contract Compensation: $30–$50 per hour (depending on experience) Start Date: Immediate — Project begins next week We are looking for a skilled AI / ML Engineer to join our team and help build a high-accuracy biometric authentication system for a smart lock platform. The goal of this project is to develop a facial recognition system with extremely low False Acceptance Rate (FAR < 0.01%), capable of identifying users accurately—even in challenging cases such as distinguishing identical twins. Project Environment - Training with large-scale biometric datasets such as MegaFace and mobile face recognition datasets - Deployment architecture will be hybrid, supporting both edge devices (smart lock hardware) and cloud s...

I am ready to dive into natural language processing and would like structured, hands-on coaching that takes me from the basics to building reliable text-classification models. My preferred language is Python, so examples should rely on common stacks such as Jupyter Notebook, Pandas, scikit-learn or, when it makes sense, PyTorch and Hugging Face Transformers. Java and R are not in scope for this engagement. Here is what I need from you: • A clear learning roadmap that starts with data cleaning and exploratory analysis, then walks through feature engineering (tokenisation, embeddings, etc.), model selection, training, evaluation and deployment. • Well-commented Python notebooks and sample datasets so I can reproduce every step on my own machine. • Short explanations ...

I am looking for an experienced AI/ML professional for a paid 1-hour consultation to discuss building and launching an AI product. The ideal person should have hands-on experience with LLM development, quantization, and deployment, and should understand how to turn ML capabilities into real startup products. Topics I want to discuss during the session: Practical process of building AI products using existing LLMs (OpenAI, Hugging Face, open-source models, etc.) Model quantization and optimization for cost-efficient deployment Hosting and deployment options (cloud, APIs, inference servers) Dataset creation and data annotation pipelines How small teams can build AI startups using existing models Monetization strategies (APIs, SaaS, datasets, AI services) Guidance on building MVPs an...

I am conducting advanced research in machine learning and artificial intelligence, with interests that include Graph Neural Networks, deep learning, and data-driven modeling. I am seeking an experienced machine learning / deep learning research assistant to collaborate on preparing two experimental journal manuscripts for submission to Scopus-indexed Q2 or Q3 journals. The role involves supporting the research and manuscript preparation process. All work must follow standard academic integrity and publication ethics. ⸻ Scope of Work The assistant will help with: • Literature review on recent machine learning and deep learning methods • Supporting experimental design and benchmarking • Assisting with implementation and experiments (Python / PyTorch / TensorFlow preferred)...

I am looking for an experienced developer, biomedical engineer, or development team capable of building an advanced medical diagnostic system. The concept is to create a portable handheld device that can analyze a small blood sample from a patient. The blood would be inserted into the machine through a cartridge or slot system, similar to how a phone charger plugs into a phone. Once the blood sample is inserted, the device should process the sample and send the results to a mobile or web application, where the user or doctor can view the analysis results and health indicators. The goal is to develop a system that can help identify diseases or health conditions based on blood analysis with very high accuracy and reliability. This project will start with a prototype, and if the developer...

Poker Vision and GTO Analysis Tool — Developer Specification Objective Develop an offline application that analyzes recorded poker footage, screenshots, or manually entered hand data to detect the game state and generate GTO-based recommendations for post-session review and training. The system is intended for study and hand analysis only. It must not provide live in-game assistance. Scope The application should: • Detect hole cards, community cards, player positions, pot size, bet sizing, and approximate stack sizes from recorded media. • Reconstruct the full hand state in a structured format. • Pass the reconstructed state into a GTO analysis module or solver-based recommendation engine. • Display recommendations, alternative lines, and relevant metrics...

I’m launching an ongoing lineup of intensive webinars and masterclasses and need a full-time partner who can both design and deliver the content right away. The audience is already experienced, so each session must go straight into advanced techniques in Machine Learning and Data Visualization—no surface-level overviews. What I need you to handle • Shape the complete syllabus, ensuring a logical progression of advanced ML and visualization topics • Build concise slide decks, hands-on notebooks, and sample projects (Python, Jupyter, scikit-learn / PyTorch / TensorFlow, Plotly / Matplotlib) • Present and moderate the live webinars, fielding in-depth questions from a senior crowd • Record, edit, and package each session so the material remains valuable...

I need help to reduce overfitting in my hybrid vision transformers/CNN model for prostate cancer classification. Current setup: - Training on medium resolution image data - Data augmentation applied, but only one technique Ideal skills and experience: - Strong background in deep learning, especially with vision transformers and CNNs - Expertise in image data processing and augmentation techniques - Experience with model optimization and overfitting reduction

I need a cloud-based AI solution that focuses on procurement analysis. The system must ingest our purchasing data, evaluate each vendor on pricing comparison, quality of goods/services, and overall reliability, then deliver concise, visual reports every single day. Your work should cover data pipeline design, model training or configuration, and a lightweight dashboard or API so my team can pull the insights straight into our ERP. I’m open to AWS, Azure, or GCP; if you prefer Python with libraries such as Pandas, scikit-learn, or TensorFlow, that fits our stack well. Acceptance criteria – the project is complete when: • Daily reports arrive automatically without manual triggers. • Each report scores vendors on price, quality, and reliability, flagging outlie...

I want a fully-automated pipeline that turns any baby-dress snapshot a parent or photographer uploads into a polished, studio-ready product image. As soon as a photo is dropped in, the background should disappear cleanly, the dress colour must be corrected or subtly recoloured when it looks washed out, and the whole frame needs a layer of professional effects that make it worthy of an e-commerce catalogue. Here is the flow I have in mind. • Upload JPEG or PNG → instant background removal (clean white by default, but allow me to swap in themed or seasonal presets later). • Automatic dress detection → colour enhancement or one-click recolour options. • Quality lift: sharpening, noise reduction, gentle skin retouch so the baby still looks natural. • Prof...

I’m expanding our LLM-focused R&D pod in Noida and need a hands-on Python engineer who can start contributing on day one. You must be comfortable building asynchronous back-ends in FastAPI, have real production experience creating LangChain chains and agents, and be equally at ease working with both OpenAI and Hugging Face models. Day-to-day you’ll design and optimise micro-services that call LLMs, manage embeddings in Pinecone or FAISS, and orchestrate data flows through PostgreSQL, MongoDB and Redis—everything neatly containerised in Docker for local and cloud runs. Expect plenty of room to prototype new AI features, run quick experiments, and then harden the successful ones for scale. The role is 100 % onsite in our Sector-62 Noida office; close collaboration wit...

Project Overview: I am seeking a highly skilled n8n Automation Expert to develop and deploy a sophisticated, end-to-end content generation engine on my own n8n instance. The goal is to automate SEO-optimized article writing, AI image creation, and multi-platform social media distribution while using Google Sheets as a central database for content management and duplication prevention. Required Workflow & Technical Logic: Smart Trigger & Duplicate Prevention (Google Sheets): The workflow must run on a Cron Job (scheduled). Before generating any content, the system must query a specific Google Sheets file to ensure the topic or title has not been used previously. After a successful run, the workflow must append the new Title, Date, and WordPress Post URL to the sheet to prevent ...

We are conducting a research project in Geospatial Artificial Intelligence and Remote Sensing that supports an academic manuscript submission to journals such as: ISPRS International Journal of Geo-Information IEEE Journal of Selected Topics in Applied Earh Observations and Remote Sensing The system integrates: Satellite image processing Computer vision object detection Large Language Model (LLM) enrichment Retrieval-Augmented Generation (RAG) The engineering system already exists. Your role is to design and execute rigorous ML experiments and evaluation pipelines to support publication-quality results. Infrastructure and deployment will be handled by a DevOps engineer. System Architecture The pipeline is based on the AWS open-source geospatial processing framework: OSML ModelRunner Refer...

I need to embed two core AI capabilities into my current workflow: a predictive-analytics engine driven by machine-learning techniques and an image-recognition module powered by computer vision. Both tools should be production-ready, well-documented, and callable through REST or Python APIs so they slot cleanly into our existing stack. The predictive component will ingest historical data that I will provide (CSV and SQL sources) and return forward-looking metrics such as demand forecasts and risk scores. Accuracy must be benchmarked against a held-out test set, with clear reporting on feature importance and model performance (precision, recall, F1). The image-recognition piece will classify and tag uploaded photos, surfacing confidence values for each label. A lightweight front-end demo ...

I need an advanced AI to play Brawlhalla at a pro level on my behalf. The AI must excel in strategy, consistency, and reaction speed. Key Requirements: - High-level gameplay mirroring professional players - Strategic decision-making akin to top-tier competitors - Consistent performance with minimal errors - Fast reaction times to in-game events Ideal Skills & Experience: - Proven experience in AI development for competitive games - Deep understanding of Brawlhalla mechanics and meta - Strong coding skills in relevant programming languages - Ability to provide past work examples and detailed project proposals Please ensure timely delivery, preferably within a month.

I need a full-featured online store built from the ground up for selling physical products. The site must include product listing pages, a smooth shopping cart flow, and a secure checkout that supports UPI / Razorpay so customers within India can pay quickly without friction. A clean, intuitive UI is essential—I want the browsing and purchase experience to feel effortless on both mobile and desktop. Speed and SEO best practices matter just as much as looks, so please keep page weight light, code clean, and metadata in order. On the back end I will rely on a robust admin dashboard that lets me: • add, edit, and archive products with images and variants • track and fulfill orders in real time • view and manage customer accounts and order history Please build w...

I'm looking to create an AI-enabled real estate intelligence platform. The platform should leverage AI to perform property recommendations, market analysis, and price predictions. Key Requirements: - AI algorithms for property recommendations, price predictions, and market analysis. - Access to comprehensive data sources: property listings, market trends, and user preferences. - User-friendly interface for seamless navigation and interaction. Ideal Skills and Experience: - Proven experience in AI development, particularly in real estate. - Strong background in data analysis and algorithm design. - Portfolio showcasing similar past work is essential. - Expertise in building intuitive, user-friendly platforms. Please include past work in your application.

I am commissioning a 60–70 page dissertation on “Detection of deep-fake images and videos (including voice modulation) using AI.” Academic presentation is essential; please apply a formal scholarly layout with in-text citations and a full reference list. I am flexible on the exact style (APA, MLA, Chicago) as long as it is applied consistently and meets university standards. Research approach I only need a thorough, critical literature review—no primary experiments or case studies. The writing should synthesise current peer-reviewed work on computer-vision techniques, GAN identification, forensic audio analysis, multimodal fusion, and emerging AI counter-measures, weaving these strands into a cohesive argument that highlights research gaps and future directi...

We are looking for a highly skilled AI and automation developer with experience in sports betting platforms and automated systems to help build and maintain an advanced betting automation solution. The ideal candidate should have experience working with sportsbook platforms, data scraping, AI prediction models, and automation tools to create a reliable system capable of processing large volumes of betting data and executing automated workflows. This is a freelance remote project with the potential for long-term collaboration.

Project Brief – Customer Churn Prediction for Telecom Project Goal: The project aims to predict customer churn in the telecommunications industry. By identifying customers likely to leave, telecom companies can take proactive retention actions, reduce revenue loss, and improve customer satisfaction. Data Used: The dataset includes customer demographics, service subscriptions, contract details, billing information, and payment methods. Project Steps: Data Cleaning: Handling missing values and correcting inconsistencies. Exploratory Data Analysis (EDA): Understanding patterns and key factors affecting churn. Feature Engineering: Creating new variables to improve model performance. Model Building: Developing a machine learning classification model to predict churn. Technologies & To...

Project Brief – Customer Churn Prediction for Telecom Project Goal: The project aims to predict customer churn in the telecommunications industry. By identifying customers likely to leave, telecom companies can take proactive retention actions, reduce revenue loss, and improve customer satisfaction. Data Used: The dataset includes customer demographics, service subscriptions, contract details, billing information, and payment methods. Project Steps: Data Cleaning: Handling missing values and correcting inconsistencies. Exploratory Data Analysis (EDA): Understanding patterns and key factors affecting churn. Feature Engineering: Creating new variables to improve model performance. Model Building: Developing a machine learning classification model to predict churn. Technologies & To...

[Project] AI-Based Development Automation Cluster Setup We are looking for a developer to build an AI-powered development automation environment. The goal of this project is to improve development productivity and establish an automated development and testing system. Key Requirements - Experience setting up Docker-based runtime environments - Ability to design a system that runs identically on other PCs or servers - Experience building automation systems that can run 24/7 on VPS or cloud servers - Experience with Git-based code management and deployment - Experience with automated testing or browser automation Deliverables - Docker-based runtime environment - System that runs identically on other PCs or VPS - Installation and execution guide - A stable and reliable automation system ...

I'm looking for an experienced developer to create an AI trading robot focused on the Forex market. The robot should implement a day trading strategy. Ideal skills and experience: - Expertise in Forex trading - Experience in developing AI trading algorithms - Strong background in day trading strategies - Proficiency in relevant programming languages (Python, R, AI etc.) - Ability to backtest and optimize trading models - Knowledge of risk management techniques - Able to link to outsource indicator to open and close trade - Project fee is highly negoitabe , depends on your contribition (entry price is just for reference) Please include your relevant experience in your application.

We are conducting a research project in Geospatial Artificial Intelligence and Remote Sensing that supports an academic manuscript submission to journals such as: ISPRS International Journal of Geo-Information IEEE Journal of Selected Topics in Applied Earh Observations and Remote Sensing The system integrates: Satellite image processing Computer vision object detection Large Language Model (LLM) enrichment Retrieval-Augmented Generation (RAG) The engineering system already exists. Your role is to design and execute rigorous ML experiments and evaluation pipelines to support publication-quality results. Infrastructure and deployment will be handled by a DevOps engineer. System Architecture The pipeline is based on the AWS open-source geospatial processing framework: OSML ModelRunner Refer...

**Project Title:** Personalized Recommendation System Using Collaborative Filtering and Deep Learning **Project Description:** I am looking for an experienced AI,ML,DL developer to build a personalized recommendation system using collaborative filtering and deep learning techniques. The system should analyze user–item interaction data and generate personalized recommendations for users. **Project Objectives:** * Develop a recommendation model using collaborative filtering. * Integrate deep learning techniques (such as Neural Collaborative Filtering). * Improve recommendation accuracy by capturing complex user–item relationships. * Generate Top-N personalized recommendations. **Scope of Work:** 1. Data preprocessing and creation of a user–item interaction matrix. 2. I...

I’m expanding our team with an AI engineer who can take the lead on end-to-end Machine Learning work. The immediate focus is on time-series data: everything from cleaning raw feeds through to building and shipping a production-ready predictive model. You’ll be working in Python (think pandas, NumPy, scikit-learn, TensorFlow or PyTorch) and will have the freedom to introduce the tools you’re most comfortable with, as long as the final stack is reproducible and easy to maintain. Here’s what I need from you: • Prepare and engineer the time-series dataset so that it’s model-ready, documenting every transformation. • Design, train, and iterate on forecasting or anomaly-detection models that outperform a naive baseline. • Hand over clean, well-comme...

Fluent in English please This project is for the development of a focused AI assistant, not a generic chatbot. The goal is to create a knowledge-based financial guidance assistant that answers questions using curated materials from a book and supporting financial education resources. Please read the full project description carefully before applying. Proposals that clearly demonstrate experience with RAG (Retrieval Augmented Generation) systems and AI chat assistants will receive priority review. Project Overview I have just published my first book on Amazon and will serve as one of the primary knowledge sources used by the AI assistant. I have not applied any marketing for the book at this point as I am waiting for the completion of this project. The project is intentionally focused a...

I need a secure, browser-accessible AI medical scribe that can 1) turn live clinician speech into text, 2) recognise medical terminology with clinical-grade precision, and 3) push structured data straight into an EHR through FHIR or HL7. Transcription accuracy must sit in the 95–100 % range, so please be comfortable fine-tuning models, adding language-specific dictionaries, and building post-correction logic. The system must be entirely web-based, deployable to my cloud account, and compliant with HIPAA best practices. Python, FastAPI, React, WebRTC, or comparable stacks are all acceptable as long as latency stays low and security stays tight. Start your message with the name of the similar project you have already delivered and, if possible, a demo link or client reference—t...

I want to build a simple AI web tool called NoticeIQ. The tool is designed for Chartered Accountants to analyze tax notices and generate structured draft replies. Users will enter notice details in a form (notice section, issue raised, facts, documents etc.). The system should send the prompt to OpenAI API and generate structured professional output including: • notice analysis • key issues identified • probability of demand • officer expected documents • document checklist • suggested supporting annexures • reconciliation requirement (AIS / GST etc.) • structured draft reply format Important requirement: Users should not see ChatGPT interface. The tool should run independently using OpenAI API. Website requirements: • simple login • ...

*Proposal Pengembangan AI Program untuk Meningkatkan Produktivitas* *Ringkasan* Kami mengusulkan pengembangan AI program yang dapat membantu meningkatkan produktivitas Anda dengan fitur-fitur seperti penjadwalan tugas, pengaturan tujuan, dan pengiriman notifikasi desktop. Program ini akan dirancang untuk dapat berinteraksi dengan Anda secara dasar dan dapat dimodifikasi sesuai kebutuhan. *Fitur Utama* 1. *Penjadwalan Tugas*: AI program akan membantu Anda menjadwalkan tugas-tugas harian, mingguan, dan bulanan, serta mengirimkan notifikasi pengingat. 2. *Pengaturan Tujuan*: AI program akan membantu Anda menetapkan tujuan jangka pendek dan jangka panjang, serta melacak kemajuan Anda. 3. *Notifikasi Desktop*: AI program akan mengirimkan notifikasi desktop untuk mengingatkan Anda tentang tu...

I am building a commercial-grade product that combines n8n workflow automation, Twilio voice/messaging, a conversational Voice-AI agent, and OpenAI’s latest API endpoints. The goal is straightforward: turn this integrated stack into a finished solution I can package and sell. Scope of work • Set up modular n8n workflows that receive webhooks or form inputs, branch logic, call external APIs, and push data back to my app’s database. • Embed Twilio for both voice and SMS so the system can trigger calls, accept inbound calls, and pass live audio streams to the Voice-AI layer. • Build the Voice-AI agent, leveraging OpenAI (Chat Completion / Whisper / TTS) to handle intent detection, real-time responses, and follow-up actions routed back through n8n. • Ke...

We are looking for a highly skilled AI and automation developer with experience in sports betting platforms and automated systems to help build and maintain an advanced betting automation solution. The ideal candidate should have experience working with sportsbook platforms, data scraping, AI prediction models, and automation tools to create a reliable system capable of processing large volumes of betting data and executing automated workflows. This is a freelance remote project with the potential for long-term collaboration.

Hello, I am a researcher looking for a Python developer specialized in Artificial Intelligence to implement the programming part of an innovative project idea. I am looking for someone able to: develop the algorithm in Python process and analyze data build a functional prototype contribute to the technical implementation of the project Required profile: serious, competent, reliable, with strong skills in Python and AI. Possibility of long-term collaboration depending on the results. Best regards.

Fluent in English please This project is for the development of a focused AI assistant, not a generic chatbot. The goal is to create a knowledge-based financial guidance assistant that answers questions using curated materials from a book and supporting financial education resources. Please read the full project description carefully before applying. Proposals that clearly demonstrate experience with RAG (Retrieval Augmented Generation) systems and AI chat assistants will receive priority review. Project Overview I have just published my first book on Amazon and will serve as one of the primary knowledge sources used by the AI assistant. I have not applied any marketing for the book at this point as I am waiting for the completion of this project. The project is intentionally focused a...

I want to see a working proof-of-concept that can watch a live webcam feed in an indoor setting and reliably decide whether someone is merely holding a phone or actively using it. The prototype must process the video stream in real time, recognise the presence of a smartphone, then look for behavioural cues—hand placement, posture and, ideally, gaze direction—to confirm active usage. Whenever the model judges that the phone is being used, it should trigger an audible or visible alarm on the host machine instantly; no other logging or alert channels are required for this first iteration. I am happy for you to choose your preferred computer-vision stack (e.g. OpenCV, MediaPipe, PyTorch, TensorFlow, ONNX) as long as the end result runs on a typical workstation without specialise...

I want to see a working proof-of-concept that can watch a live webcam feed in an indoor setting and reliably decide whether someone is merely holding a phone or actively using it. The prototype must process the video stream in real time, recognise the presence of a smartphone, then look for behavioural cues—hand placement, posture and, ideally, gaze direction—to confirm active usage. Whenever the model judges that the phone is being used, it should trigger an audible or visible alarm on the host machine instantly; no other logging or alert channels are required for this first iteration. I am happy for you to choose your preferred computer-vision stack (e.g. OpenCV, MediaPipe, PyTorch, TensorFlow, ONNX) as long as the end result runs on a typical workstation without specia...

I have a collection of datasets that need to be explored from every angle. First, I want a clear descriptive snapshot that tells me what is happening in the data right now. From there, I need predictive models that forecast future trends, and finally prescriptive recommendations that translate those forecasts into concrete, data-driven actions. You are free to move between Excel pivot tables, Python (preferably pandas, scikit-learn, and matplotlib or seaborn), and R (tidyverse, ggplot2, caret) as each step requires. The end goal is a versatile analysis that can power business decisions, support an academic write-up, and improve day-to-day operational efficiency. Please include: • Cleaned and well-documented datasets • Reproducible Excel workbooks, Python scripts or notebo...

I need an AI showcase designed specifically for marketing and promoting our capabilities to potential clients. The project is urgent and needs to be completed ASAP. Key Requirements: - Engaging and interactive presentation of AI capabilities - High-quality visuals and graphics - Clear and concise messaging tailored to potential clients - Experience in marketing materials and AI technologies is a plus Scope • Build the complete workflow in Python, using current mainstream libraries (scikit-learn, TensorFlow or PyTorch, plus supporting tools such as pandas, NumPy, and Streamlit/Plotly for visual insights). • Provide clean, reproducible code, modular enough to be adapted later. • Document the entire pipeline with architecture and data-flow diagrams, plus a concise narrative ...

I want Python-driven e-commerce site that handles the entire shopping cycle automatically and intelligently. The storefront itself should be fast, mobile-friendly, and secure, but the real focus is on three layers of smart functionality: Automation • Inventory management that syncs stock levels in real time across warehouse, website, and any future marketplace integrations. • End-to-end order processing, from payment confirmation through shipping label generation and status updates. • Customer-support chatbots that can answer product questions 24/7 and escalate to a human when needed. • Integrated bulk-marketing tools—SMS, WhatsApp, and email blasts—so I can launch campaigns straight from the admin panel. Machine-learning intelligence • Pers...

I need an AI agent in Copilot to analyze Excel spreadsheets. The spreadsheet shows monitoring visit compliance. The agent should be able to determine if a visit has been compliant within the allowable visit window. Ideal Skills: - Experience with AI and machine learning - Proficiency in Excel, especially in data analysis - Strong programming skills (Python, R, etc.) - Familiarity with data visualization tools

I have several years of historical sales records spread across CSV files, Excel workbooks, and a database. I want you to turn that mixed-source information into a clean, consistent dataset, explore it for trends and seasonality, and then build a machine-learning model that can reliably project future sales. Data preparation must cover every stage—handling missing values, normalising numeric fields, and performing any transformations needed to feed the algorithms. Once the data is tidy, run an exploratory analysis so I can clearly see the patterns that drive revenue, especially how previous sales, marketing spend, and seasonal shifts interact. For modelling, I am open to linear regression, Random Forest, ARIMA, or another regression-based technique you can justify in the report. The...

I have a collection of customer reviews that must be transformed into clear, data-driven insight. The raw files might arrive as CSV, Excel, or even straight from a database—the format is flexible—so the first task is to clean and standardise whatever I supply. That means handling empty rows, removing noise (HTML tags, punctuation, stop-words, etc.) and normalising the text. Once the data is tidy I need robust sentiment classification. Please build the pipeline in Python, making sensible use of NLTK and/or TextBlob for tokenisation, lemmatisation and polarity scoring. The reviews span more than one language, but the immediate focus is on the English subset; your code should therefore detect language and process only English for this milestone while staying extensible for future...

I have a collection of customer reviews that must be transformed into clear, data-driven insight. The raw files might arrive as CSV, Excel, or even straight from a database—the format is flexible—so the first task is to clean and standardise whatever I supply. That means handling empty rows, removing noise (HTML tags, punctuation, stop-words, etc.) and normalising the text. Once the data is tidy I need robust sentiment classification. Please build the pipeline in Python, making sensible use of NLTK and/or TextBlob for tokenisation, lemmatisation and polarity scoring. The reviews span more than one language, but the immediate focus is on the English subset; your code should therefore detect language and process only English for this milestone while staying extensible for future...

Title: I will build a customer churn prediction model using Python Description / Project Brief: Hi, I need a freelancer to develop a machine learning model that predicts customer churn for my business. The project includes: Data Cleaning & Preprocessing: Handle missing values, remove duplicates, encode categorical variables. Prepare the dataset for model training. Exploratory Data Analysis (EDA): Analyze trends and patterns in the dataset. Create visualizations to show factors affecting churn. Machine Learning Model Development: Train a supervised learning model (like Logistic Regression, Random Forest, or KNN) to predict customer churn. Evaluate the model using metrics like accuracy, precision, recall, and F1-score. Report & Recommendations: Provide a brief report summ...

Python Data Analysis & Machine Learning Project Description: Hi, I need a freelancer to help with a data analysis and machine learning project. The project includes: Data Cleaning & Preprocessing: Handle missing values, remove duplicates, encode categorical data. Prepare the dataset for analysis and ML model training. Data Analysis & Visualization: Analyze the dataset to identify trends, patterns, and insights. Create visualizations using Python libraries (Pandas, Matplotlib, Seaborn). Machine Learning Model Development: Build and train a supervised learning model (KNN, classification, or regression). Evaluate the model performance using metrics like accuracy, precision, recall. Documentation & Report: Provide a brief report of the analysis, model results, and r...

I'm seeking an experienced ROS2 developer to implement navigation and path planning for a robot in mixed environments (both indoor and outdoor). The project is urgent and needs to be completed as soon as possible. Key Requirements: - Develop robust navigation algorithms - Ensure reliable path planning in mixed environments - Integrate with existing ROS2 framework - Test and validate in real-world scenarios Ideal Skills: - Proficiency in ROS2 - Strong background in robotics navigation - Experience with mixed environment challenges - Ability to meet tight deadlines - experience with clear path jackal robot is good Please provide examples of similar work done and your estimated timeline for completion.

I'm seeking a Python RPA expert specializing in computer vision-based (Offline) web scraping for a web search and document download project. You'll scrape sites, download/classify documents (e.g., public records via CV/NLP), design neural networks for extraction, and build scalable workflows. Patience for alpha testing, finetuning iterations is key. Key Requirements: • Pure Python RPA, with the core orchestrator, no third part tool. • Web navigation/ scraping with Selenium/Playwright: document download, classification, OCR/text extraction. • Build/train neural networks (e.g., CNNs for image doc classification). • NLP expertise with spaCy for entity extraction. • Computer vision using TensorFlow/OpenCV (offline Vision Libraries preferre...