Strojno učenje (ML) Jobs

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 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’m building a small-scale, university-level prototype that recommends the most suitable cybersecurity framework for a payment-gateway provider after it supplies basic company data through a simple GUI. The tool must consider only cybersecurity frameworks—no governance or risk models—with the initial comparison set restricted to CIS Controls v8, PCI DSS, NIST 800-53, NIST 800-61, and MITRE ATT&CK. Scope of the build • Data layer: curate or simulate representative “company data”—size, transaction volume, geography, existing controls—and prepare it as the training / inference set. • Model: tune an appropriate NLP or rules-augmented model so that, given the company profile, it returns the single best-fit framework plus a short justi...

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.

Project Title: Iraqi License Plate Detection and Recognition using Python (YOLO + OCR) Description: I am looking for a developer to build a complete Python project for automatic Iraqi vehicle license plate detection and recognition. Project Requirements: 1. Detect Iraqi license plates from vehicle images using a deep learning model (preferably YOLOv8). 2. Crop the detected license plate from the image. 3. Apply OCR to recognize the license plate number and characters. 4. The system should support Arabic letters, English letters, and Arabic-Indic numbers used in Iraqi license plates. 5. Use data augmentation techniques (rotation, blur, illumination changes) to improve model performance. 6. Provide training and testing scripts. 7. Provide the full Python source code. Tools preferr...

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...

Se busca un experto en Inteligencia Artificial Generativa para colaborar como socio tecnológico en el desarrollo de una solución corporativa propia. Este rol va más allá de la programación, requiriendo un consultor y arquitecto que guíe el proceso de experimentación, selección de tecnologías y diseño de la arquitectura. El objetivo principal es construir un sistema de IA avanzado con las siguientes capacidades: * Memoria a largo plazo (RAG): La IA debe ser capaz de recordar y basar sus respuestas en documentos internos de la empresa. * Agentes Autónomos: Desarrollo de agentes capaces de ejecutar tareas de manera independiente. * Flexibilidad Multi-LLM: La arquitectura debe permitir cambiar fácilment...

Looking for AI Developers – Build the Next Generation of AI Agents We’re looking for skilled AI developers to help design and build a powerful AI architecture layer and agent ecosystem. Scope of Work: Design and implement a scalable AI architecture layer Integrate AI models from: Local/self-hosted models Hugging Face Third-party AI APIs Build modular AI agents for real-life use cases Example Agent Use Cases: Email summarization and automation Smart shopping assistant (Flipkart / Amazon product search and tracking) Flight search and booking assistant Personalized news agent Stock monitoring and alerts Personal AI agent builder for everyday automation tasks Requirements: Experience with LLMs, agent frameworks, and AI integrations Familiarity with API integration...

We are looking for experienced AI Developers to help design and build an advanced AI-powered platform. The role involves developing intelligent chatbots, Retrieval-Augmented Generation (RAG) systems, multimodal AI capabilities, and scalable backend architectures. You will work closely with the founding team to bring innovative ideas to life—from concept to production-ready systems. Key Responsibilities Build and deploy AI chatbots using modern LLM frameworks Design and implement RAG pipelines for document and knowledge-base querying Integrate OCR and Vision models for document and image understanding Implement Text-to-Speech (TTS), Speech-to-Text (STT), and Speech-to-Speech (STS) pipelines Fine-tune LLMs to create offline, self-hostable AI models Architect and develop a scalab...

I have a set of time-stamped observations and I need a robust machine-learning solution that can forecast future values with solid accuracy. The end goal is an automated prediction/forecasting model that I can retrain as new data arrives and easily integrate into a larger Python pipeline. Here’s what I need from you: • Exploratory analysis of the raw time-series data, spotting seasonality, trends, and anomalies. • Thoughtful feature engineering (lags, rolling stats, calendar effects, exogenous variables if useful). • Model selection and training – I’m open to traditional approaches such as ARIMA/Prophet as well as more advanced architectures like Gradient Boosting or LSTM; choose what performs best and explain why. • Rigorous evaluation on a ho...

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...

Title: Senior dMRV / Carbon Data Engineer (Verra + – Palm Oil / Biochar) Scope: We are an agentic + Web3 dMRV platform. We need a freelancer to assist prepare our data and calculations. Your tasks: Review historical data of POME SCADA exports. Map SCADA fields to Verra VCS POME/biogas methodology requirements and, at a high level, to biochar requirements. Build Python/SQL ETL scripts to clean and structure the data (handle gaps, outliers, units). Implement preliminary carbon calculations (CH₄ avoided / destroyed, EFB→biochar tCO₂e stored) using standard factors. Deliver a short technical memo (10–15 pages) describing data, assumptions, and methods that we can later refine with VVB. Must‑have experience: Hands‑on data work (Python + SQL) with time‑series / SCADA ...

I already have a working image-recognition model running inside Google AI Studio; now I need it packaged as a production-ready Android app that can be published on the Google Play Store. The heart of the job is wiring the existing model to the camera so recognition happens in real-time. From there, I also want: • User authentication so each person has a secure, personal session • An in-app analytics dashboard that shows usage stats and model performance • Push notifications to re-engage users and announce updates I will supply the AI Studio project and any trained model assets. You would handle the app architecture, UI that feels native on modern Android, the integration of the above features, plus Play Store compliance (privacy policy hooks, adaptive icons, signed ...

**Project Title:** Machine Learning Model to Analyze Price Behaviour Around Moving Average (Forex – XAUUSD) **Project Description:** We are building a quantitative research project focused on understanding and modeling **price behaviour around a Moving Average** using machine learning techniques. The objective is to develop a **statistical/ML model that can estimate the probability and confidence of price movement relative to a moving average**. This project is specifically focused on **XAUUSD (Gold) in the Forex market**, using **1-minute historical data**. The key requirement is that the **model must analyze price dynamics strictly around the Moving Average**, without relying on additional technical indicators such as RSI, MACD, Bollinger Bands, etc. We want to understand and ...

Need tgood tutors for data science and computer science for large number number of tasks only indvial tutors no agencies and middle man

Hi — we’re looking for an experienced AI engineer who has built real-time conversational voice systems. Our platform uses AI to answer phone calls for businesses, take orders, and interact naturally with customers. The system integrates voice AI, APIs, and a backend dashboard. We’re looking for someone who has experience with things like: • real-time voice AI • conversational agents • speech-to-text / text-to-speech • API integrations • production systems that handle live calls This would initially be for reviewing and improving an existing system, with the possibility of ongoing work if it’s a good fit. If you have experience building voice AI systems, please send examples of similar work you’ve done. Thanks.

We are looking for a web designer to create a corporate website (14 pages) for a company specializing in construction material installation and public facility construction. Requirements: Responsive design (PC / Tablet / Mobile) Clean and modern design Attention to detail -We Provide: Text and images Preference: Female designers preferred. Please send: Portfolio Estimated timeline Your price. reference site:

I’m kicking off a five-part AI build that will ultimately cover land value estimation, risk assessment, ROI prediction and more, but the very first milestone is a robust Land Value Estimation engine. Everything you need to understand the larger vision, data architecture and success metrics is spelled out here: Scope of this initial module • Work only with historical land price data for now; I’ll layer in geographical or environmental feeds once the core model proves reliable. • Keep the geographical focus tight—one defined local area—so we can reach production-ready accuracy quickly, then scale regionally. • Deliver a trained model (Python preferred), well-commented code and a concise report that explains feature engineering, validation metric...

We are looking for an experienced Senior AI/ML Engineer to join our team and help build advanced AI-driven solutions. The ideal candidate will have a strong background in machine learning, deep learning, and data science, with expertise in deploying models at scale. If you're passionate about tackling complex challenges and working with cutting-edge AI technologies, we want to hear from you! We are looking for an individual, not agency. Scope of work - Collaborate with the team to integrate AI/ML technologies into current projects. - Develop and optimize machine learning algorithms. - Perform ongoing analysis and validation of AI models. Key Responsibilities: ** Fluent English Skill is MUST!!! So if you don't have ENGLISH SKILLs don't apply for this position. Develop a...

Project Title: MERN Stack Web Application Development Project Description: I am looking for a developer who can build a web application using the MERN Stack (MongoDB, , React.js, Node.js). This project is for academic purposes. Requirements: • Frontend: React.js with responsive UI • Backend: Node.js and • Database: MongoDB • Features: User authentication (login/signup), CRUD operations, basic dashboard • Clean and well-structured code Additional Requirements: • Source code must be provided • Basic documentation of the project • Proper comments in the code Budget: Open for discussion Deadline: 5–7 days If you have experience with MERN Stack development, please place your bid and share your previous work if available.

**Project Title:** Source Detection using Human Behaviour Dynamics using Machine Learning / Deep Learning / AI **Project Description:** I am looking for an experienced Machine Learning / Deep Learning developer to build a model also novelty is must **Scope of Work:** * Dataset preprocessing and exploration * Model development using ML/DL techniques * Training and testing the models * Performance evaluation (Accuracy, Precision, Recall, Confusion Matrix) * Comparison of different models * Clear documentation of the workflow **Preferred Tech Stack:** * Python * Machine Learning / Deep Learning models * TensorFlow / PyTorch / OpenCV * Data visualization libraries **Deliverables:** * Complete source code * Trained model * Results and performance comparison * Brief documentation of th...

I need a production-ready wake-word model that reliably responds to “Hey Bobo” on both ESP32 and Raspberry Pi boards. Accuracy is critical: in a moderately noisy room it should trigger every time someone clearly says the phrase, yet ignore most unrelated speech. I still want slight phonetic wiggle-room—utterances such as “hello bo,” “hey bebo,” or “hello bebo” should wake the system as well—so fine-tuned threshold settings and a well-balanced dataset will be essential. What I expect from you • A trained wake-word model or firmware that runs in real time on ESP-IDF for ESP32 and on Raspbian/Ubuntu for Raspberry Pi without requiring cloud calls. • Demo code that shows how to load the model, stream audio from an onboar...

I’m building a complete AI-driven platform that trades listed options for me end-to-end. The engine has to recognise and act on the full range of strategies I use—straight buying or selling of calls and puts, multi-leg spreads, straddles, strangles, and any automatic strategy the model itself flags as favourable. Core capabilities I need • Real-time market analysis that fuses live quotes with historical time-series data, news feeds, social-media sentiment and technical indicators such as Wave Trend, VWAP and similar momentum tools. • Automated trade execution through a broker API, with order staging, smart routing and position monitoring. • Built-in risk management covering position sizing, max-loss cut-offs, volatility shocks and margin checks before any or...

Explainable AI Models for Any topic with novelty Project Description: Build a complete end-to-end Machine Learning project using dataset (CSV) to identify the source of infection using Explainable AI models. The project should include data loading, EDA (missing values, distributions, correlations, visualizations), data preprocessing (handling missing data, encoding categorical features, scaling numeric data, removing outliers), and feature selection. Train and compare multiple ML models with cross-validation and hyperparameter tuning, and include explainability using SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations). Deploy the system with a Streamlit web UI where users can upload datasets, select the target column, run preprocessing, train...

I have an LLM-agent project where the video component refuses to behave the way it is prompted, and I also need to wire in the Gemini API. Both issues matter to me equally. Video prompt issue Right now the clip renders, but the behavior on screen doesn’t reflect the prompt text. It feels as if the agent hands off the wrong parameters somewhere in the chain. I need the logic traced, the root cause isolated, and the fix committed so the video consistently follows the prompt every run. Gemini API integration The second task is to drop Gemini seamlessly into the same codebase. I already have API credentials ready; what’s missing is the clean wrapper, error handling, and a quick demo call that proves the model responds through my agent framework. Deliverables • Clean, ...

I'm seeking a Python expert to develop a credit risk management model, focusing specifically on market data. Key Requirements: - Credit Risk Expertise: In-depth understanding of credit risk, particularly related to market data. - Python Proficiency: Advanced skills in Python for data analysis and modeling. - Data Handling: Experience in working with large datasets, especially market data. - Financial Acumen: Strong background in finance and risk management principles. Ideal Skills and Experience: - Proven experience in developing credit risk models. - Familiarity with relevant Python libraries (e.g., Pandas, NumPy, Scikit-learn). - Ability to provide clear documentation and insights on the model developed. Please share your relevant experience and approach to this project. I look ...

I’m working through an year long online course on Artificial Intelligence and Machine Learning and I’m running short on time for several graded assignments and mini-projects. Rather than general tutoring or technical platform troubleshooting, I specifically need someone who can step in, finish the required tasks, and submit clean, well-commented solutions on my behalf. This will be an ongoing project and will span an year. Typical exercises range from data preprocessing and feature engineering to training and evaluating models with libraries such as Python, NumPy, pandas, scikit-learn, TensorFlow or PyTorch. Code must run flawlessly in the course’s Jupyter-based environment and meet the rubric laid out in each brief (accuracy thresholds, narrative explanations, and any...

Tôi cần một chuyên gia hỗ trợ xây dựng model phân tách neutron/gamma bằng Deep Learning sử dụng Python. Phạm vi công việc • Phân tích yêu cầu và đề xuất kiến trúc mạng phù hợp (CNN, RNN, hoặc hybrid nếu cần). • Xử lý và chuẩn hóa dữ liệu đầu vào; nếu thiếu dữ liệu, hỗ trợ tạo hoặc mở rộng bộ dữ liệu mô phỏng. • Huấn luyện, đánh giá và tinh chỉnh mô hình để đạt độ chính xác tối ưu. • Bàn giao mã nguồn Python kèm hướng dẫn chạy, file trọng số đã huấn luyện và báo cáo tóm tắt kết quả. Kỳ vọng • Ưu tiên giải pháp gọn nhẹ, dễ t&aac...

I want an AI-powered conversational agent that has to work on a web application front end. The bot must tap into our large retail product database so managers can conversationally, ask for actionable insights, kpi, and create reports. Key goals • Deliver actionable insights about consumer behaviour • Easy conversational chat for business user Acceptance criteria documentation covering model architecture, training data structure, and how to connect to the retail database API. 3. Handover of all code (Python/Node or comparable), configuration files, and instructions so my in-house devs can maintain it. 4. Analytics dashboard reporting 5. Final deployment on our production site with my sign-off after load testing. If you have experience with AI projects using LangGrap...