Aprendizaje Automático (ML) Jobs

Necesito a una persona que se integre de forma continua con nuestro equipo para llevar la personalización y automatización dentro de Odoo al siguiente nivel e incorporar capacidades de inteligencia artificial en todas las áreas posibles. Qué espero que hagas • Revisar y mapear todos nuestros procesos de negocio actuales (inventarios, facturación, contabilidad, CRM y cualquier otro flujo operativo). • Diseñar un plan de automatización por fases que cubra desde pequeñas mejoras hasta la optimización completa del flujo «end-to-end». • Implementar reglas, flujos de trabajo y personalizaciones en Odoo (Studio, Python, XML, API REST) que reduzcan tareas manuales y errores. • Desarrollar o ...

We are building a large-scale multi-agent AI system with 33 advanced skills (self-learning, self-coding, quantum integration, invisibility, etc.). The system will scale to 50 lakh (5 million) autonomous agents.*

I’m ready to host an open-source language model on my own Linux box and need an expert to guide me through every step. I’m currently leaning toward Llama, with text generation as the primary use case, but I’m open to your professional advice if another model proves clearly superior. Scope of work • Recommend the best open-source LLM variant for my goals. • Install and configure the model on my Linux server (SSH access provided). • Detail exact hardware requirements and performance expectations. • Walk me through basic prompting so I can see it running in real time. • Explain Retrieval-Augmented Generation (knowledge-base integration) and show a simple example. • Cover built-in and add-on translation capabilities. • Outline...

I need an AI tool that can convert bank statements in PDF format into both CSV and OFX files. The extracted data should include: - Date - Description - Amount Ideal skills and experience: - Experience with AI and PDF data extraction - Familiarity with CSV and OFX formats - Prior work with financial documents, especially bank statements Looking for a reliable solution to automate this process.

I want a fully-automated goalie controller for NHL 26 that can keep the crease locked down every game. The end goal is simple: once the tool is running, the goalie should track the puck, slide into perfect position, make every plausible save, and clear rebounds or handle the puck with the poise of a pro—no manual input required from me during play. Here’s what matters most to me: • A consistent, “unbeatable” performance that reacts in real time to on-ice situations. • Clean integration with NHL 26 so I can fire up a match and let the bot take over instantly. • Compatibility with all common setups; if you need separate builds for PC and console, outline the differences early. • Straightforward installation plus a short read-me or video walk...

WAN 2.2 video LoRA for my one-eyed calico cat with unique fur pattern, one of a-kind color mix goal: WAN 2.2 video LoRA file for WAN 2.2 base model to generate short, stylised clips of her in different scenes... (I have a ZIT image LoRA for my one-eyed calico cat, that is why I can use WAN2.2 I2V for much better consistency than T2V) dataset is 100-200 raw clips, each 3-10 seconds long (or even more) – Footage should show natural behaviours (walking, jumping, grooming, stretching, playing) from multiple angles in daylight >>>>>>>>>>>>>>> first step what would you suggest for video captioning ? also considering temporal relationship... frame extraction, resizing, tagging or captioning, feel free to recommend what is best in your opt...

Saya ingin pendampingan pribadi agar bisa membangun model machine learning saya sendiri dari nol. Saya sudah menguasai dasar-dasar pemrograman, jadi materi bisa langsung berfokus pada alur kerja machine learning tanpa harus mengulang logika pemrograman umum. Ruang lingkup yang saya bayangkan: • Penjelasan ringkas konsep inti ML (dataset, training, testing, evaluasi). • Praktik menyiapkan data menggunakan Python serta pustaka seperti pandas dan scikit-learn. • Panduan memilih algoritma yang tepat, melatih model, dan membaca metrik performa. • Tugas kecil setiap sesi untuk memastikan pemahaman. • Proyek mini di akhir—model sederhana yang dapat saya jalankan dan modifikasi sendiri. Format pertemuan fleksibel (online call, screen-sharing, atau vid...

I am expanding an internal application that monitors the health of industrial gas turbines and now needs a robust predictive-maintenance module. The current environment streams high-resolution sensor feeds in JSON and is backed by several years of curated historical performance data. The goal is to turn those two sources into accurate failure-risk forecasts and actionable maintenance recommendations. You will design and implement the full workflow—data ingestion, cleansing, feature engineering, model training, and deployment—inside a Python-based stack (pandas, scikit-learn or similar; feel free to propose alternatives such as PySpark or TensorFlow if they offer clear advantages). Real-time scoring must run fast enough to support control-room dashboards, and the results should...

I will provide a corpus of raw call recordings, each in MP3 format, and I need a machine-learning model that can automatically flag fraudulent activity. The model must correctly recognise the three problem categories—Phishing, Robocalls and Telemarketing scams—without human intervention. What I expect you to handle: • Pre-processing: clean the audio and extract features (e.g., MFCCs or spectrograms) that capture speaker and content cues. • Modelling: design, train and fine-tune a classifier; CNN, RNN, Transformer or a hybrid approach is acceptable if it improves accuracy. • Evaluation: deliver precision, recall, F1 and a full confusion matrix for each fraud type so I can judge real-world performance. • Deployment assets: an inference script or small R...

We are seeking large-scale two-way audio datasets to train our AI systems. Conversations can be on any topic, but more complex topics tend to have a greater impact on training effectiveness. Key Points: - High-quality audio recordings are required. - Our technical team will review the quality of submitted samples to determine final pricing. - The scale of the dataset is substantial, and we are open to proposals from freelancers or organizations with the capability to fulfill these requirements.

I need a machine-learning expert who can take raw time-series signals and turn them into accurate, production-ready models. The entire effort revolves around signal processing—filtering, denoising, feature extraction—and then building, training, and validating models that make reliable predictions from those signals. The data you will handle arrives as multichannel time-series streams. You will decide on the best preprocessing pipeline (e.g., wavelet or FFT filtering, adaptive smoothing, normalization), engineer features, and then implement and compare models such as CNNs, transformers, or traditional algorithms if they outperform deep nets for this context. Python is my preferred stack; NumPy, SciPy, scikit-learn, PyTorch or TensorFlow should feel second nature to you. Robust...

I’m planning to roll out an AI-powered agent that plugs seamlessly into the Meta ecosystem and automates day-to-day interactions on the platform. The core objective is to have a flexible framework that can be steered toward customer support, content moderation, data analysis—or a smart blend of all three—once we settle on the most valuable starting point together. Here’s what I need from you: • A clear technical proposal outlining the model architecture (rule-based, ML, or deep-learning driven), the libraries you recommend—think Python, PyTorch or TensorFlow—and how the agent will hook into Meta’s Graph API or other relevant endpoints. • Production-ready code with comments and an environment file so I can reproduce your results locally...

I have a curated dataset of patients’ genetic profiles and need a deep-learning solution that can reliably flag the presence of heart disease. Because the data are entirely genomic, the job begins with thoughtful preprocessing and feature engineering (handling high-dimensional SNPs, normalisation, train/validation split, class-imbalance techniques if required). My single, overriding success metric is F1 Score; accuracy alone will not do, so the model must be tuned to balance precision and recall. You may choose the exact framework—PyTorch or TensorFlow/Keras are both fine—as long as the final code is clean, reproducible, and GPU-ready. Deliverables • End-to-end Python code or notebook that loads the raw genetic data, performs preprocessing, trains the deep neur...

我正在为一套帕德尔球场 AI 视频分析系统寻找长期合作伙伴。第一阶段的目标是用 NVIDIA Jetson Orin Nano 8 GB 搭建一个可以落地演示的边缘推理原型；后续阶段继续协作，完成模型优化、云端集成以及系统调试。 第一阶段核心任务 在 Jetson Orin Nano 上接收两路 PoE IP 摄像头的 RTSP 流，使用 GStreamer 解码并保持稳定帧率 部署 YOLOv8n/s 目标检测模型，并结合 ByteTrack（或等效算法）实现多目标跟踪 同时处理双路输入，验证端到端性能，确保可实时输出球员检测框与轨迹 业务场景 系统需同时生成球员表现报告和精彩集锦，因此算法管线必须兼顾数据完整性与视觉效果。我更倾向在 Jetson 平台上深度利用 GStreamer；如你熟悉 FFmpeg，同样欢迎提出更优方案。 后续合作方向 √ 模型优化 √ 云端集成 √ 系统调试 理想背景 – 有 Jetson（Orin 优先）或同类边缘设备的部署经验 – 熟练搭建 GStreamer / FFmpeg 视频管道 – 熟悉 YOLOv8、ByteTrack 或等价检测+跟踪组合 – 如果你做过体育视频分析、多摄像头同步或者比赛数据可视化，将是加分项 请在提案中附上相关项目链接或 GitHub，简单说明你在 Jetson 或边缘视觉项目中的角色与贡献。期待与你一起把原型快速推进到可上线的完整解决方案。

I want to create an entertaining spokesman video where the on-screen speaker’s face is seamlessly replaced with a custom face taken from a photo I will supply. The final piece should look like a high-end deepfake: natural lip-sync, consistent lighting, and no noticeable artifacts, suitable for sharing purely as entertainment. Here is the flow I have in mind. I will give you: • the raw spokesperson footage (clean, well-lit, 1080p) • one high-resolution photo of the face that needs to be swapped in • any dialogue script or subtitles you might need for alignment You will handle the full deepfake pipeline—face extraction, training, compositing, colour matching, and final render—using whichever tools you are most comfortable with (DeepFaceLab, FaceSwap, St...

We are looking for a contractor with strong experience in computer vision, signal processing, multimedia systems, and Python-based research prototyping. The work involves designing and evaluating algorithms for video analysis, content protection, robustness testing, and experimental research. Ideal candidates should have experience with: Python OpenCV FFmpeg NumPy / SciPy Computer Vision Signal Processing Image / Video Processing Experimental Evaluation Technical Report Writing Selected candidates will be asked to complete a paid technical assessment involving the design and evaluation of a video-processing algorithm.

I am putting together an instructional animation and need a five-person AI task-force to power the technical side of the production. The core roles are Machine Learning Experts, Data Scientists, and Computer Vision Specialists—ideally people who feel at home moving between Python notebooks, TensorFlow / PyTorch stacks, and OpenCV pipelines. Your main focus will be data analysis and algorithm development. Concretely, I’ll count on you to: • Analyse raw video and motion-capture data so we can pinpoint the most engaging sequences to animate. • Develop custom algorithms that automate character rigging, lip-sync, and scene transitions, feeding those outputs directly into our animation software (Blender and After Effects). • Optimise and document the entire workf...

I’m expanding InsureNet with an AI-powered module focused exclusively on assessing cyber risks for our business customers. The goal is to combine three proven methods—vulnerability scanning, threat-intelligence analysis, and security audits—into a single, automated workflow that produces a clear risk score and supporting evidence that underwriters can trust. What I need from you • Build or integrate reliable vulnerability scanners (OWASP ZAP, Nessus, or a comparable open-source tool) that can be triggered via API and return normalized findings. • Pull real-time threat-intelligence feeds (STIX/TAXII, CVE databases, commercial feeds if you have access) and correlate them with the scanner output. • Design an ingest mechanism for security-audit data so t...

I need a concise yet clear live demonstration that introduces reinforcement learning through a Q&A-driven format. During the session you will walk through a working example—feel free to use Python, OpenAI Gym, or any comparable toolkit—and answer a short set of practical-application questions I’ll provide in advance. Alongside the demo, complete a small written assignment that summarises the example, explains the key decisions you made, and responds to those same practical-application questions in text form (about one page is enough). Deliverables • Live demo link or recording (10-15 min) • Source code/notebook used in the demo • Written assignment (≈1 page) covering the Q&A Keep the material beginner-friendly, focused on showin...

I’m looking to strengthen my Python fundamentals with an emphasis on data structures. I already know my way around variables, simple loops, and the interpreter, but I need a clearer, more practical grasp of lists, tuples, sets, dictionaries, and the best ways to use them in real code. Here’s what I have in mind: • Short, live or recorded walkthroughs that break down each core data structure • Small, hands-on exercises I can run locally so I see how the concepts behave • Clear, commented reference scripts I can revisit later By the end, I want to feel confident choosing the right structure for a task and manipulating it efficiently. If you enjoy guiding learners who sit somewhere between “total newbie” and “intermediate,” let’...

I need an AI-driven solution that will remove the manual grind from our image-heavy data entry and management flow. The end product should pull raw image files from a designated source, read the embedded or visual information, classify or tag each file correctly, and populate our existing database automatically. Accuracy is the top priority; any mislabeled or unprocessed images must be flagged for human review rather than slipping through. Here is what success looks like for me: • A repeatable training pipeline (Python preferred,TensorFlow or PyTorch are both fine) capable of handling new images as the dataset grows. • An inference service that runs on-prem or in the cloud—AWS S3 / Lambda is ideal, but I’m open to workable alternatives—that accepts a batch ...

I have a curated dataset of patients’ genetic profiles and need a deep-learning solution that can reliably flag the presence of heart disease. Because the data are entirely genomic, the job begins with thoughtful preprocessing and feature engineering (handling high-dimensional SNPs, normalisation, train/validation split, class-imbalance techniques if required). My single, overriding success metric is F1 Score; accuracy alone will not do, so the model must be tuned to balance precision and recall. You may choose the exact framework—PyTorch or TensorFlow/Keras are both fine—as long as the final code is clean, reproducible, and GPU-ready. Deliverables • End-to-end Python code or notebook that loads the raw genetic data, performs preprocessing, trains the deep neur...

I'm seeking a skilled developer to create a web-based ERP system tailored for small manufacturing businesses. The ERP should include the following modules: - Inventory Management: Track raw materials, work-in-progress, and finished goods. - Production Planning: Schedule and manage production activities. - Quality Control: Monitor and ensure product quality at various stages. Ideal Skills and Experience: - Proven experience in developing ERP systems, especially for the manufacturing sector. - Strong understanding of inventory, production, and quality control processes. - Expertise in web-based application development. - Ability to create user-friendly interfaces suitable for small business users. - Good project management skills to ensure timely delivery within budget. Please provid...

I’m building “Premium AI”, a web platform that marries two equally critical capabilities: an AI-powered Home Architect and seamless Voice-First Navigation. I already have the product vision and the high-level UX; I now need a full-stack developer who can turn that vision into a production-ready React.js + Node.js application and weave in robust AI/ML models. Core scope • Home Architect: take a user’s spoken description, output an autogenerated floor plan, interior design suggestions, and render a 60-second walkthrough video on the fly. • Voice-First Navigation: the entire interface must be operable by voice. The system should recognise three command categories: – Navigation commands (open, close, navigate) – Design commands (create...

AI Agent Evaluator Remote · Contract · Flexible Hours We're hiring evaluators to help assess and benchmark cutting-edge AI agents. This is hands-on work at the frontier of agentic AI — not prompt writing, not basic QA. You will be designing complex real-world tasks, running them across multiple large language models, and producing the structured evaluations that shape how the next generation of AI agents are trained. What You'll Do You will design multi-stage agent tasks across real-world domains including health, finance, productivity, relationships, and personal exploration. Each task must require the agent to coordinate across multiple tools and systems, manage persistent state, handle realistic friction points, and produce a verifiable final artifact. Tas...

Job Responsibilities Annotate and label vehicle data according to provided guidelines. Identify and mark vehicles accurately based on their assigned categories/labels. Follow project instructions carefully to ensure high-quality annotations. Complete assigned tasks within the given deadlines. Maintain consistency and accuracy throughout the project. Requirements No coding or technical background required. Basic computer and internet skills. Ability to follow instructions and pay close attention to detail. Strong commitment to delivering work on time. Focus on accuracy and quality. Important Notes This is a time-sensitive project with strict delivery timelines. Accuracy is critical, as the annotated data will be used for AI/ML model development. Training and annotation guidelines will be ...

AI Agent Evaluator Remote · Contract · Flexible Hours We're hiring evaluators to help assess and benchmark cutting-edge AI agents. This is hands-on work at the frontier of agentic AI — not prompt writing, not basic QA. You will be designing complex real-world tasks, running them across multiple large language models, and producing the structured evaluations that shape how the next generation of AI agents are trained. What You'll Do You will design multi-stage agent tasks across real-world domains including health, finance, productivity, relationships, and personal exploration. Each task must require the agent to coordinate across multiple tools and systems, manage persistent state, handle realistic friction points, and produce a verifiable final artifact. Tas...

# AI-Powered Enterprise Document Intelligence Platform ## Project Overview We are seeking an experienced AI Architect / Full-Stack Development Team to build a scalable enterprise SaaS platform capable of collecting, processing, analyzing, and extracting structured intelligence from large volumes of unstructured documents. The platform will combine document acquisition, OCR, data extraction, AI-powered analysis, workflow automation, advanced search, reporting, and user management into a unified system. This is a long-term product with multiple development phases. We are looking for highly experienced professionals capable of building production-grade AI systems, not simple websites. --- ## Scope of Work ### Phase 1 – Data Collection & Processing The platform should be capa...

At a glance • Engagement: fixed-price rebuild delivered by a dedicated team • Timeline: 8 calendar weeks, broken into milestone releases • Collaboration: daily Slack stand-ups, weekly demo calls, GitHub flow PRs Project overview The current Demand Forecasting Tool (DFT) is mission-critical yet unstable; frequent crashes under load have made it impossible to scale. I’m replacing it entirely and need a production-ready version that is fast, resilient and 100 % correct in its domain outputs. Fixed tech stack You will inherit a fully defined stack and infrastructure playbook (shared after NDA). The stack is non-negotiable, so your team must be comfortable dropping straight into an existing repo, containerised workflow and CI/CD pipeline. Required skills (pro...

# Freelancer Requirement: Warehouse Label Matching From Existing Text Inference ## Project Context We already have these components working in production: - QR code detection - Barcode detection - Text detection / OCR inference We do **not** need a new OCR model or a new QR/barcode detector. The required work is to build/improve a **warehouse label matching module** that takes existing OCR text results and matches them to warehouse label records in our inventory data. ## Goal Given OCR text detections from images, match text candidates to the correct warehouse label with high precision and practical recall, and return ranked matches with confidence and explainability. ## In Scope - Use existing text inference outputs (detected text, confidence, bounding boxes) as input. - Normalize no...

I’m developing an AI-native CRM specifically for pharmaceutical and life-science companies and now need the core embedded agent that handles pre-call planning for our sales, marketing, and medical teams. The assignment When a user selects an HCP, the agent must instantly pull that provider’s complete history from our unified customer database, surface key insights, and generate role-specific talking points that respect every compliance rule we live under. Think of it as a smart briefing document that appears in seconds, ready to guide the next field visit, virtual detail, or MSL discussion. What I’ll count as success • Architecture and data-flow design showing how the agent interfaces with our existing lake/warehouse and respects HIPAA, GDPR, and 21 CFR Par...

I am planning a sustained series of Artificial Intelligence studies that will be submitted to peer-reviewed journals and conferences. For each project I will provide the core research question, relevant datasets (or simulation parameters), and any preliminary experimental results. Your task is to transform that material into a full, publication-ready research paper that meets the formatting and methodological standards of venues such as IEEE, ACM, or Springer. Typical flow • You review the brief, confirm the research hypothesis, and propose the structure of the paper. • Once we agree on the outline, you expand it into an 8-12 page manuscript in LaTeX (preferred) or Word, complete with abstract, introduction, related-work section, methodology, experiments, discussion, conclus...

About Us FUEL GYM & YOGA is a functional fitness gym that broadcasts workout programs through our own TV broadcasting application. We have a library of approximately 1,200 workout exercise videos. Since our application supports only GIF format, we have already converted all videos into 5–10 second GIFs. Project Requirement We are looking for an AI Video Generation expert or team to convert our existing workout GIFs into AI-generated fitness model GIFs while preserving the exact exercise movement. Objective Create a consistent and professional workout library by replacing different real-life models with a 4 different Male and Female AI-generated fitness model across all exercise GIFs. Input Files Provided Original workout GIFs (5–10 seconds each) Reference AI model/st...

I have a project that needs a full machine-learning workflow built in Python. The business objective and the kind of data we will work with are still open for discussion, so I’m counting on your expertise to help me refine the goal, pick the right algorithms, and prepare a clean, reproducible pipeline. What matters right now is that everything runs in Python 3.x and relies on well-supported libraries such as pandas, NumPy, scikit-learn, TensorFlow or PyTorch. Once we agree on the exact use-case, you will: • set up data-preprocessing scripts and exploratory notebooks • build, train, and tune the initial model • deliver clear, commented code with a brief report explaining choices, metrics, and next-step recommendations The work is complete when I can run your co...

I’m expanding a US-based SaaS product team and need an experienced .NET engineer who can own our customer-facing web applications while helping to ship production machine-learning models. Most of our stack lives in C# with ASP.NET MVC and Entity Framework, but our ML pipeline runs in Python, so you should feel at ease moving between both worlds—writing clean controller/API code, optimising queries generated by EF, and wrapping or calling Python models for inference and training. Selected technologies you must already handle: • Entity Framework • Python • AI (machine-learning models) Prior experience at a U.S. company is strongly preferred because we follow U.S. business hours (roughly 9 am–5 pm EST, Monday–Friday). If you enjoy bridging full-...

I’m building a future-ready web platform that marries a sleek, modern UI with genuine AI power. At its core sits a predictive analytics engine that surfaces real-time insights for visitors—trend forecasts, usage predictions, and data snapshots that update as each interaction occurs. The interface must feel effortless: clean layouts, fluid micro-animations, and full responsiveness across desktop, tablet, and mobile. Immersion is just as important as intelligence. I need interactive 3D models rendered right in the browser so users can rotate, zoom, and explore products or data outputs smoothly, without plugins. These models should react to the predictive analytics feed, updating geometry or overlays the instant new data arrives. Please keep the architecture modular and scalable...

I am looking for an experienced Python developer to build an AI-powered Investment Intelligence Platform for Indian markets. This is NOT an auto-trading platform. The platform should act as a professional investment research assistant and provide recommendations, rankings, portfolio insights, risk assessments, alerts and daily reports. Technology Stack: - Python - FastAPI - PostgreSQL - Streamlit - OpenAI API - Angel One SmartAPI - TradingView Webhooks - Telegram Bot - Docker Modules Required: 1. Long-Term Investing Engine 2. SIP Recommendation Engine 3. Swing Trading Engine 4. Intraday Trading Engine 5. Commodity Analysis Engine 6. IPO Analysis Engine 7. Portfolio Analysis Engine 8. Risk Management Engine 9. AI Discovery Watchlist Engine 10. Recommendation History Engine 11. AI Accur...

I am building an AI-driven tool that can draft a full range of Pakistani legal documents—lawsuits, applications, appeals and more—while automatically sourcing, citing and applying the relevant statutes, rules and case-law published on official government websites. Scope of law The engine must work across Criminal Law, Civil Law and Corporate Law. Whenever I supply a fact pattern or fill out a guided questionnaire, the system should pull the appropriate provisions, weave them into a well-structured pleading and flag any missing information it still needs. Interactive legal Q&A In addition to document generation, the same knowledge base should power a question-and-answer feature that returns clear, reference-backed advice both as text and as synthesized voice. A user ...

I’m building an end-to-end flower–image recognition system that runs as a web application. Users will be able to upload photos from their local drives, and the backend will instantly identify the flower species with high accuracy. Here is the scope I need covered: • Data pipeline – curate or expand an existing public flower dataset, handle cleaning, augmentation, and train/validation/test splits. • Model development – implement a Convolutional Neural Network in Python (TensorFlow / Keras or PyTorch) tuned specifically for multi-class flower classification. I’m open to transfer-learning from ImageNet-based architectures if that speeds convergence. • Evaluation – provide precision, recall, F1, and confusion matrix on the held-out t...

I’ve collected a sizable housing-market dataset and now need a complete prediction pipeline built in Python. The work starts with thorough cleaning, preprocessing, and creative feature engineering so that every useful signal—size, rooms, location ratings, and any other attributes we can derive—is captured. Once the dataset is ready, I want to benchmark several approaches, but the core focus is Random Forest Regression. Feel free to test Linear or Support Vector methods if they might edge out the forest, yet the final report should clearly show how each model performs against the usual metrics (RMSE, MAE, R²). Visual insight is important, so the notebook or script has to generate intuitive plots—scatter trends, residual diagnostics, whatever best tells the sto...

I need an AI Research bot that can help with data analysis and report generation. The bot should be capable of analyzing: - Text data - Numerical data - Image data And generating the following types of reports: - Summary reports - Detailed analytical reports - Visual reports with charts and graphs Ideal skills and experience: - Expertise in AI and machine learning - Strong background in data analysis - Proficiency in report generation tools - Experience with various data types, especially text, numerical, and image data Looking for a freelancer who can deliver a robust and efficient AI Research bot within budget.

I’m acquiring private, production-tested GitLab repositories from the Fintech space to enrich our AI/LLM training corpus at Infobay AI. I will only consider codebases that have never been public, were actively used in a real-world environment, and show evidence of at least two contributors. A reliable test suite and a clean, repeatable build are mandatory. If your repository meets those standards, please outline: • The tech stack and framework versions • Proof it has never been public (e.g., creation logs, access history) • Confirmation of two-plus contributors • Instructions for running the test suite and reproducing a production build • Any existing documentation that shipped with the system Once I verify everything, we’ll arrange secure, ti...

I need an intermediate Python developer to build a lightweight simulation project demonstrating a "Physics-Informed AI Agent" defending a smart car's Autonomous Emergency Braking (AEB) system against a cyber attack (False Data Injection Attack causing Ghost Braking). I will only release the payment through two specific contract milestones:- Milestone 1 (50% of budget): Provide the completed Python code (.py or Jupyter Notebook) that runs flawlessly and generates clear comparison graphs using matplotlib. You must send a quick video recording proving it works on your machine.- Milestone 2 (50% of budget): A 45-minute Zoom/Google Meet call to walk me through the code line-by-line, explain the physics math used, and prepare me to answer questions for my college presenta...

a) Setting a concrete Rubric-based evaluation criteria (as is formally done in LLMs' response evaluation) such as: - Accuracy - Instruction following - Reasoning quality - Completeness - Clarity - Safety - Coding correctness - Hallucination risk b) To help optimize prompts, prompt engineering frameworks can be employed such as zero-shot prompting, few-shot prompting, chain-of-thought prompting. c) All errors in the model's responses can be segregated into different error types like Factual error, Reasoning error, Instruction failure, Formatting issue, Hallucination, Safety issue, Code bug, etc so that we can deeply analyse the performance so all the models and figure out their specific weaknesses.

Can you make a AI website that edito voiceover audios with adding effects on the auido, removing background noices, cutting gaps?

Mais detalhes: Which platforms will the Aviator predictor be used on? Mobile, Web What functionality do you need in the Aviator predictor? Real-time predictions, Historical data analysis How will the data be sourced for the Aviator predictor? Manual data input

The project centers on building a production-ready TensorFlow 2.x model that classifies tabular data delivered to us through an internal API. I have the API specifications and sample payloads ready; you will turn those streams into a clean training pipeline, engineer the right features, and iterate until the classifier meets our performance targets in real-world tests. Scope of work • Data pipeline – pull the API data, handle preprocessing, and produce TensorFlow-friendly datasets for train/val/test splits. • Model development – design, train, and tune a deep learning architecture suitable for tabular inputs (e.g., wide & deep, Transformer, or other proven structures). • Optimization – experiment with hyperparameters, regularization, and callback...