Python Jobs

Quero lançar um site institucional enxuto, elegante e focado em performance. O projeto abrange quatro páginas — inicial, sobre, serviços e contato — todas concebidas em mobile first, com carregamento rápido e código limpo (HTML, CSS e JavaScript puro ou, se você preferir, um framework como React). Na área de contato preciso de: • um formulário simples, com validação de campos em tempo real; • integração direta ao Mailchimp para que cada envio alimente automaticamente minha lista. Também desejo um visual dinâmico: scroll suave entre seções, animações sutis ao passar o mouse e transições suaves de página que mantenham a exp...

Preciso de uma aplicação capaz de varrer aproximadamente 500 sites de leiloeiros e extrair, diariamente, os preços e ofertas publicados. Meu objetivo é acompanhar variações de valor e condições em tempo quase real, gerando um arquivo consolidado que eu possa tratar depois em outras ferramentas de análise. Eu fornecerei uma planilha base contendo: • A lista completa dos domínios a serem monitorados • Os campos extras que desejo capturar em cada página (descrição do item, data e hora do leilão, nome do vendedor, entre outros) O que espero da entrega: 1. Crawler/web-scraper funcional que percorra todos os endereços e colete as informações especificadas. 2. Atu...

IMPORTANT — PROJECT CONTEXT This project is not starting from scratch. The platform already includes: • an existing codebase • an initial system architecture • validated UI/UX design assets • partially implemented frontend and backend components • development progress alrea The current hiring process takes place due to replacement, therefore the w • technical transition • audit of the curre • continuation and completion of development The selected developer will be respons • reviewing the existing codebase • auditing the current implementation stage • identifying technical gaps or inconsistencies • fixing existing issues • completing the system architecture and functionality By accepting this project, the develo...

Estou procurando um desenvolvedor de IA habilidoso para criar um agente de vendas que interaja com meus clientes pelo WhatsApp. O agente de IA será responsável por responder perguntas frequentes para auxiliar nas vendas de nossos produtos físicos. Requisitos principais: - O agente deve ser capaz de responder a perguntas frequentes dos clientes. - O sistema deve ser integrado ao WhatsApp para uma comunicação fácil. - O candidato ideal deve ter experiência em desenvolvimento de IA e integração de chatbots com plataformas de mensagens. Habilidades e experiências ideais: - Proficiente em processamento de linguagem natural (PNL) - Experiência em desenvolvimento de chatbots - Familiaridade com a API do What...

I already have a fully built SaaS: Django on the backend, React on the frontend, PostgreSQL hosted in Supabase, Celery workers, Razorpay payments, and Anthropic API calls. All source code, a step-by-step handbook, and an up-to-date README are ready for you; nothing needs to be coded from scratch. Your mission is to bring the project to life on Replit (or a VPS if that proves smoother) so that I can share a live URL with users today. The workflow I’m expecting is straightforward: • Spin up two Repls—one for the Django API/Celery worker and one for the React client. • Copy , add real keys, and verify every variable (Django secret, Supabase creds, Razorpay keys, Anthropic key, Celery broker/redis URL, etc.). • Point the Django settings to the existing Supabase...

我手上有一份来自模拟的曲线数据，需要你用神经网络把它拟合成一条可直接调用的经验公式，并确保任意数据点的误差率都控制在 5% 以内。网络架构我还没有想法，期待你根据数据特点给出专业建议。 核心工作流程 1. 数据理解与预处理 • 读取并检视我提供的专用数据集（文件将随项目开始共享）。 • 做必要的归一化、划分训练/验证/测试集，并说明理由。 2. 网络设计与训练 • 结合曲线特征提出1–2套候选架构（如全连接网络、CNN、Transformer 等），解释选择依据。 • 用常见框架（Python + PyTorch 或 TensorFlow 均可）实现并训练；包含超参数调优与早停策略。 3. 误差评估与公式提取 • 给出完整的误差分析，逐点列出相对误差，确保全部 ≤5%。 • 将最佳模型转化为可复现的数学/代码形式： - 明确公式、系数与激活函数。 - 提供 Python 函数示例，方便直接调用。 4. 交付物 • 可执行源码与依赖清单。 • 训练日志、可视化结果（loss 曲线、散点图对比）。 • 技术报告：数据处理、模型架构、实验参数、误差验证、最终经验公式。 • 一键复现实验脚本或 Jupyter Notebook。 验收标准 - 全数据集点对点误差 ≤5%。 - 代码在常规 GPU/CPU 环境下即可运行，无缺失依赖。 - 报告内容完整、条理清晰，步骤可追溯。 如果你对曲线拟合、深度学习或函数提取有成熟经验，请展示相关案例或 GitHub 链接，让我更快锁定合适的人选。

What you'll do Design and optimize AI image/video generation pipelines for high-concurrency inference Integrate and fine-tune open-source video generation models (e.g. Wan2.2, CogVideoX) Optimize GPU inference performance using TensorRT, xformers, and quantization techniques Implement LoRA-based fine-tuning for character consistency and style customization Collaborate with ML researchers to accelerate the path from research to production Requirements 5+ years of AI/ML engineering experience Hands-on experience with video or image generation systems in production Strong PyTorch skills; experience with Diffusers and DiT architectures Solid understanding of GPU inference optimization (TensorRT, xformers, quantization) Practical LoRA fine-tuning experience, including hyperparameter t...

I already have a functional Amazon A-to-Z shift-grabber, but it only works reliably when the window stays in the foreground and its reaction time is too slow to beat other workers. I’d like you to overhaul the code so it can operate unseen in the background and lock in blocks at the very first moment they appear. Performance upgrade • Cut response time to the absolute minimum—ideally within the same second a shift is posted. • Streamline the logic or API calls so the tool stays stable even when Amazon’s listings spike; no freezing or missed updates. New functionality • Build an automated selection engine: after I set rules such as station, day of week, start/end hours, or minimum pay, the script should claim any matching shift automatically without ...

Responsible for designing and implementing large-scale data migration and ingestion pipelines to move high-volume data from diverse sources into cloud platforms. Sources include HDFS, relational databases such as MySQL and PostgreSQL, and real-time streaming systems like Kafka. Develop and maintain robust data pipelines using PySpark, ensuring efficient processing of batch and streaming data. Implement automated scheduling mechanisms to orchestrate data workflows on daily and monthly intervals, ensuring reliability and timely data availability. Optimize data ingestion and storage through advanced performance tuning, partitioning, and compaction strategies to handle large-scale datasets efficiently. Ensure data quality, consistency, and fault tolerance across all pipelines. Deploy and ma...

Do the following Stock Research Agent with SEC API and Weaviate RAG More information in the site

I need an experienced automation specialist to take several of our day-to-day business processes and turn them into reliable, hands-free flows using Openclaw as the orchestration backbone.

I run OpenClaw as the hub for our internal workflows and now want it talking seamlessly with the wider Google ecosystem and a few other business apps. The immediate goal is to establish secure, reliable connections so OpenClaw can pull and push data, kick off automated processes, and surface real-time alerts without anyone having to copy-and-paste or bounce between tabs. Google services are first on the list—Drive, Sheets, and Calendar are all in scope—followed by others. I’m open to your recommendations on sequencing and best-practice architecture, but the end result should let us:

I need a developer for a cloud-based pilot project for political media monitoring and communication workflow support. The pilot should: - collect public content from selected news portals, public Facebook pages, YouTube channels, and political/institutional websites - clean, deduplicate, and store content in a database - classify content by topic, tone, target, and urgency - generate short summaries and suggested response drafts using a cloud LLM - provide an internal command board where a user can approve, reject, edit, and route content - integrate with WordPress to create drafts, assign categories/tags, and prepare content for publication - support internal distribution by email / Telegram / WhatsApp only after manual approval - include audit logs showing who logged in, what they revie...

I have a list of roughly 1500 URLs—each coming from the same automotive website—that together cover the top 100 makes, models, grades and variants sold in Australia. I need every data point the site makes available for each of those vehicles, from the obvious specs such as year, make, model and variant right through to driveway prices, engine type, transmission, drive configuration, warranty details, fuel-economy figures, in-car technology features, seating layouts and any other attributes exposed on the page. The end goal is a clean, analysis-ready Excel workbook that lets me run market-wide comparisons, so consistency is critical: headings must be standardised, units normalised and categorical values written the same way across the entire sheet. I am happy for you to use P...

I have a raw export of my website traffic logs (CSV from Google Analytics) and I need the story behind the numbers—yesterday rather than tomorrow. Your mission is to transform that data into clear, insightful visuals focused on one key metric: Page Views. Here’s what I expect: • Pull the data into your preferred stack—Excel, Python (pandas, matplotlib, seaborn), R, or another analytical tool—and clean anything messy or missing. • Produce a concise set of graphs and charts that show daily, weekly, and monthly page-view trends, device breakdowns, and a top-10 pages snapshot. • Flag any anomalies and add one or two sentences beneath each chart so I immediately understand what it’s telling me. • Supply the finished visuals in PNG or PDF...

I have 2 Shelly i4 units behind 2x2gang switches. I have 9 Shelly 1 mini gen 3 relays on a series of spotlights and 3 more on some wall lights. Spots and walls are designed to be switched separately. I want 2 way switching for both groups of lights so the user can toggle a switch either end of the room to turn on/off a group. Note, all Shelly minis are powered with no possibility of switch inputs being used. This must all be done through programming or set up.

I need a reliable script that can pull live pricing details for car rentals from both the rental companies’ own sites and the big aggregator platforms in one pass. The goal is to feed it pickup / drop-off locations, dates, and driver age, then receive a clean CSV or JSON that lists vehicle class, daily and total price, currency, taxes & fees, and the URL it was scraped from. The scraper has to: • Navigate each target site automatically, including date pickers and location selectors. • Rotate user-agents / proxies or apply any other anti-bot tactics necessary to stay undetected. • Capture and log errors so a failed request never silently drops a row. • Be easy for me to rerun on demand—command-line or small web UI is fine, as long as setup is s...

I have already gathered a sizeable spreadsheet of phone numbers, email addresses and IP addresses; now I need all of those crumbs stitched together so I can see the real-world picture behind them. The most valuable outcome for me is showing how each digital identifier connects to WiFi networks, SSID names and the physical addresses where those networks sit. You will receive - CSV files containing the phone, email and IP data. - A handful of screenshots and documents whose original EXIF and other metadata are still intact. - A brief note on the investigative context so you understand why specific links matter. What I need back - A clear, well-structured report that walks through every correlation you uncover, complete with confidence levels and the logic or tool output that supports each ...

I want to fine-tune autonomous flights in Mission Planner for my drone fleet so we can run repeatable surveying and mapping jobs over dense urban areas. The aim is to generate clean flight lines, hold a steady ground-sampling distance around buildings, and embed failsafe logic that keeps the aircraft clear of obstacles and restricted altitudes. Here’s what I need from you: • A reusable Mission Planner template (waypoints + parameters) tuned for photogrammetry in cities—front and side overlap, adaptive altitude, safe take-off and RTL all dialled in. • A short, clear PDF that explains every setting, lays out a pre-flight checklist, and shows the basic post-processing flow for turning imagery into accurate maps or 3-D models. • A quick screen-record or liv...

I’m putting together a comprehensive backtest that focuses exclusively on stock market data from the NYSE and NASDAQ, spanning the last 10 years. To do this effectively I need a well-structured historical dataset that I can drop straight into my models without hours of manual cleanup. Here’s what I’m after: • Daily (or finer) OHLCV prices, fully adjusted for corporate actions, splits, and dividends. • Consistent symbol mapping so delistings, mergers, and ticker changes don’t break the series. • A single, tidy delivery format—CSV files are fine, but a lightweight SQL or Parquet database also works if you prefer. • A short README that explains field definitions, adjustment methodology, and any known data caveats. If you already have a...

Hi I will share the details with the shortlisted candidates. Thanks

Computer Science Course Help – Ongoing Potential Overview I am a computer‑science student seeking reliable, high‑quality assistance with coursework assignments. This is not a tutoring request; I need someone to help me with assignments according to provided specifications, with clear documentation and clean, maintainable code. No AI‑generated solutions are permitted. All work must be original, well‑reasoned, and fully explained. There is an opportunity for an ongoing, longer‑term arrangement covering multiple subjects. Scope of Work • Help with programming assignments (languages: Python, Java, C++, etc. as needed). • Write technical reports, documentation, and analysis as required. • Follow exact submission guidelines (formatting, file structure, etc.). • Me...

Both of my access-control platforms—System A (Suprema's Biostar X) and System B (dormakaba's Matrix Professional)—sit on the same Windows server and share a local MS SQL instance. Each exposes a REST API, yet today they operate in silos. I need a seamless, bi-directional integration so that any change to a person or employee record in one system is reflected in the other almost instantly. Scope of the sync • Core identity fields: name and unique ID • Credential data: RFID card number and state • Biometric assets: fingerprint templates • Media: profile picture • Security attributes: access-level permissions Key requirements 1. Real-time operation (sub-second latency acceptable). 2. Conflict-resolution logic—latest change...

Contest: Real-Time Lipsync Avatar from a Single Photo — POC / Skills Test Important: This is a Paid Proof of Concept This contest is a skills assessment. We are looking for a talented engineer to join a multi-week (potentially multi-month) project to build a full real-time avatar platform — similar in quality and capability to HeyGen, LiveAvatar, Replika, Candy AI, and D-ID. The winner of this contest will be offered a long-term contract to build the full pipeline with us. Do NOT apply if you can only deliver pre-rendered video. We need real-time. What We Need (POC Deliverable) Build a working prototype that does the following in real time: Take a single static photo (portrait/face) as input Take a live audio stream (microphone or audio chunks) as input Output a video stream ...

I’m building a new service and need a Python-based backend that exposes a clean, well-structured RESTful API. The priority right now is user authentication—registration, login, token refresh, and secure password handling—so the code should follow best practices (hashing, HTTPS-ready, rate limiting, etc.). Here’s what I expect: • A lightweight framework such as FastAPI, Flask, or Django REST Framework—feel free to pick whichever you’re most comfortable with, as long as it stays modular and easy to scale. • Well-named endpoints returning JSON, with meaningful HTTP status codes. • JWT or OAuth2 implementation for auth, plus logout / token blacklist logic. • Unit tests and simple Postman (or similar) collection so I can verify eac...

I want a fully-automated bot that connects to the Pocket Option platform, streams the current real-time market feed, and analyses it on the fly to decide when to buy or sell. The end goal is clear: accurate, prompt buy-and-sell signals that I can act on (or have the bot place automatically once we confirm stability). Scope of work • Plug into Pocket Option’s live data stream (WebSocket, REST, or any proven workaround) and keep latency to a minimum. • Build the decision engine: use the real-time price feed plus any technical indicators you recommend—moving averages, RSI, MACD, Bollinger Bands, or a custom model if you feel it improves precision. • Generate both buy and sell signals and push them instantly: on-screen, sound, email, or Telegram. I’m flexi...

I need a freelancer to perform statically analysis. For my DNP project outcomes, comparing pre and post implementation surveys. Requirements: - Expertise in predictive statistics - Proficiency with numerical data - Experience with regression analysis, time series analysis, or machine learning algorithms Ideal Skills and experience Working with DNP students Please provide examples of previous work and relevant qualifications.

Job Title: Python Developer for Geophysical Data Analysis (K-Means Clustering & 3D Visualization) Project Overview: I am a Geophysics student working on a structural mapping project of the Red Sea Rift. I have a dataset of 50 years of earthquake records (USGS CSV format) and need a Python expert to build a machine learning workflow that clusters these events based on their seismic attributes to identify hidden fault structures. Scope of Work: Data Pre-processing: Clean a USGS earthquake catalog and perform feature scaling on four specific attributes: Latitude, Longitude, Depth, and Magnitude. Unsupervised Machine Learning: * Implement K-Means Clustering to group seismic events. Provide an Elbow Method plot to justify the optimal number of clusters (K). 3D Visualization: * Create ...

I have a clean, structured numerical dataset and need a supervised machine-learning model built, validated, and handed over with clear documentation. The goal is to predict future outcomes from past observations, so model accuracy and interpretability both matter. Here’s what I need from you: • A brief data-exploration notebook that highlights key correlations, missing-value handling, and basic visuals. • Feature engineering tailored to the data’s domain (scaling, encoding, derived metrics, etc.). • At least two supervised algorithms (for example, Gradient Boosting and Random Forest in scikit-learn, or an XGBoost/TensorFlow alternative) trained, cross-validated, and benchmarked. • A concise performance comparison using appropriate regression/classif...

I’m building an online platform where customers can browse, select, and pay for professional services, all in one streamlined web app. The core of the project is an e-commerce experience tailored specifically to selling services rather than physical goods, so the flow needs to feel more like booking than shipping. Here’s what I’m after: a responsive, modern web application that lets me publish service packages, showcase details, and guide users through an effortless checkout. I want secure payment handling baked in from day one and an admin area where I can create, edit, and retire service listings without touching code. A clean dashboard for order tracking, basic analytics, and customer management is important too. If you have recommendations on the best stack or librar...

We are looking for an experienced developer to help troubleshoot and resolve an issue with our OpenAI API configuration. The API is currently not working as expected, and we need someone who can quickly identify the problem and implement a reliable fix. Responsibilities: Review current OpenAI API setup and configuration Identify and fix errors (authentication, endpoints, environment variables, etc.) Ensure API requests and responses are functioning correctly Test the integration thoroughly after fixing Provide brief documentation or explanation of the fix Requirements: Strong experience with OpenAI API integration Familiarity with API keys, environment variables, and debugging Experience with backend development (Node.js, Python, or similar) Ability to diagnose issues quickly

I need a production-ready solution that plugs into Tally, reads and writes data seamlessly, and removes as much manual bookkeeping effort as possible for a handful of our chartered-accounting clients. The platform must cover three flows: Expense Invoices • Capture PDFs or scanned bills with OCR, push the key fields into structured tables, let a reviewer tweak anything the model is unsure about, then post the clean voucher straight to Tally. The workflow should also fetch existing ledgers from Tally so duplicate supplier names or GSTINs are never created. Sales Invoices • Our clients already raise invoices in their own software; I want those documents pushed into Tally through an API route, not by file upload. A lightweight mapping screen is fine, but the transfer itself mus...

I have a clean, structured numerical dataset and need a supervised machine-learning model built, validated, and handed over with clear documentation. The goal is to predict future outcomes from past observations, so model accuracy and interpretability both matter. Here’s what I need from you: • A brief data-exploration notebook that highlights key correlations, missing-value handling, and basic visuals. • Feature engineering tailored to the data’s domain (scaling, encoding, derived metrics, etc.). • At least two supervised algorithms (for example, Gradient Boosting and Random Forest in scikit-learn, or an XGBoost/TensorFlow alternative) trained, cross-validated, and benchmarked. • A concise performance comparison using appropriate regression/classif...

I have an AI-powered invoicing application (Emergent AI Caad Invoice – ) already live on the vendor’s hosting. The full stack is React + on the frontend with Python services behind it. I now want everything migrated to my own server and kept healthy long-term. The immediate job is to stand up a fresh production environment, copy the existing codebase, configure all environment variables, storage and database connections, and make the app reachable under my domain without losing any current features. I’m open to the exact mix of Nginx, Apache or a Node.js layer as long as it fits the React/ build; you can recommend the best approach once you see the code. Deliverables • Clean deployment of the application on my server, functioning exactly like the current live inst...

I have several gigabytes of raw complex I/Q captures taken across C, X, Ku, Ka and millimetre-wave bands, and I need the information hidden inside them extracted within a week. The job starts with demodulating the bursts, moves through full protocol reversing, and finishes with packet-level inspection that pinpoints the signal type, service provider and any network identifiers. Scope of work • Focus on satellite and MMWave waveforms—no vendor documentation is available. • Wireshark is the preferred environment for final packet dissection; use any supporting tools you like (GNU Radio, URH, inspectrum, etc.) along the way, provided the workflow remains reproducible. • Convert the raw I/Q into clean baseband, map the frame structure, decode the traffic and load it ...

KnappIT is building a full-featured Multi-lingual AI conversational Legal assistant (Lity). I need someone who can take the idea from concept to a polished product that works seamlessly on iOS, Android, and the web. The assistant must handle both voice and text interactions fluidly: think high-quality speech recognition, natural-sounding TTS, and a chat interface that keeps context across devices. You’ll architect the back-end intelligence and then wire it to native mobile front-ends plus a responsive web app. Key deliverables • A scalable back-end (Python, Node, or comparable) exposing clean APIs for voice/text queries • Mobile clients for iOS (Swift/SwiftUI or React Native) and Android (Kotlin or React Native) plus a browser-based interface • On-device wake-wor...

Project Title: Computer Vision Expert for Eye Motion Detection (Mobile App - Closed-Eyelid Tracking) Project Overview We are looking for a highly skilled Computer Vision / AI Developer to build a specialized motion detection module for a mobile application. The core objective is to detect and quantify eyeball movements by analyzing video footage of a subject’s closed eyelids. Technical Challenge: "Bulge Tracking" Unlike standard pupil tracking, this project requires analyzing the movement of the eyeball "bulge" underneath the closed eyelid. The solution must be hardware-agnostic, working with standard smartphone RGB cameras under normal lighting conditions, without the need for specialized IR sensors. Key Deliverables & Requirements 1. Motion Detection: Identi...

We are seeking a highly skilled Azure Data Engineer to design, develop, and maintain robust data solutions on the Azure platform. This role requires strong technical expertise in Azure Data Engineering services and hands-on experience with Azure Kubernetes Service (AKS). Requirements: • Proven experience as an Azure Data Engineer with end-to-end data solutions • Strong proficiency in Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Azure Databricks, and Azure Synapse Analytics • Hands-on experience with Azure Kubernetes Service (AKS) - this is essential • Solid experience in SQL programming and Python scripting • Experience with ETL processes, data modeling, and data warehousing concepts • Familiarity with version control systems (Git) and DevOps pra...

We need an experienced Azure Data Engineer to design and implement robust data solutions on the Azure platform. You'll work on ETL processes, data analytics, and collaborate with cross-functional teams to deliver scalable data engineering solutions. Requirements: • Strong experience with Azure Data Factory (ADF) for ETL processes • Proficiency in Azure Databricks for advanced analytics • Hands-on experience with Azure Data Lake Storage (ADLS) • Experience with Azure Synapse Analytics for real-time analytics • Strong SQL skills for querying and database optimization • Python programming for scripting and automation • Experience with data modeling and data warehousing concepts • Excellent communication skills to work with stakeholders • Bach...

I’m rolling out a new feature that touches both ends of our stack. On the backend we run Java 21 with Spring Boot micro-services, alongside a small Node.js/Python layer that exchanges events through Kafka. The frontend is split between an older Angular module and a newer React interface. The job is to design and code the complete feature, wiring it cleanly into every affected service and UI surface. You will: • Extend (or create) the relevant Spring Boot endpoints, making sure they publish and consume the right Kafka topics. • Update the Angular dashboard and the React SPA so the user experience is seamless across both frameworks. • Keep code idiomatic, unit-tested, and pushed to our Git repo via pull requests. Acceptance criteria • All API tests pass in ...

I need help deploying my H200 GPUs specifically for machine learning tasks using PyTorch, with a focus on Natural Language Processing (NLP) models. Key Requirements: - Set up the H200 GPUs for PyTorch - Optimize the environment for NLP tasks - Ensure scalability and performance Ideal Skills: - Experience with H200 GPUs - Proficiency in PyTorch and NLP - Strong background in machine learning deployment

The project centres on building a production-ready medical image -classification pipeline that leverages modern deep-learning techniques. I have a labelled dataset and need end-to-end code that ingests the text, handles cleaning and tokenisation, and trains an accurate classifier. Python is the preferred language; The preprocessing must involve Quantum computing techniques using Pennylane. PyTorch, TensorFlow or another mainstream framework is fine as long as the solution is reproducible and easy to extend. Key deliverables: • Well-commented source code (data loading, model, training loop, evaluation) • Clear instructions to run training on a fresh machine (README or notebook) • Metrics report showing accuracy, precision, recall and F1 on a held-out set • Export...

I have a desktop application written entirely in Python that is misbehaving, and I need another set of eyes on the code. The core logic is already in place, but certain functions crash unpredictably and performance has taken a hit since the last update. Your task: • Identify and isolate the root causes of the current errors. • Patch the bugs without breaking existing features. • Clean up any obvious performance bottlenecks you find along the way. • Provide a concise report outlining the fixes and any recommendations for future refactoring. The project is strictly about debugging—no new features required—so I expect focused, well-documented commits and clear communication as you work through each issue. If you are comfortable stepping through Python c...

I’m looking for a senior technologist who can sit with my Bangalore-based team and guide us through the full hardware-software stack of our new UAV prototype. The work is hands-on and spans three pillars: hardware design, embedded-software bring-up, and end-to-end integration testing. On the hardware side you’ll dive into sensor integration, power-management architecture, and lightweight frame design, checking schematics in Altium/KiCad, reviewing BOM choices, and helping us close EMI and thermal issues. In parallel, you’ll pair with our firmware engineers to refine drivers, control loops and companion-computer interfaces (C/C++, Python, PX4 or ArduPilot experience is ideal). Finally, you’ll shape and run a systematic integration-test plan—bench, HIL and flig...

I need an end-to-end workflow that lets me swing-trade with confidence while still retaining final control over every order. My preferred charting platform is TradingView, so the system should pull data and alerts directly from there, pass the information to Claude, have Claude analyse volume- and value-based signals, and then log each qualified signal for my review. Only after I approve a logged idea should the trade move on to Kotak Securities for execution, with quantity and amount parameters that I can override each time. Key elements I expect you to wire together: • TradingView alerts or webhook feed that pushes symbol, price, and time data into the automation layer. • Claude (via API) analysing the stream for volume and value swing-trading setups and writing detailed rea...

# Техническое задание ## Разработка парсера урона для Lineage II (High Five) ### 1. Общая информация Требуется разработать десктопное приложение для **Windows**, которое в реальном времени анализирует урон в игре **Lineage II (High Five)**. Программа должна работать поверх окна игры и автоматически считывать числовые значения урона, которые появляются над персонажами во время боя. Основная цель — получать статистику нанесённого и полученного урона во время PvP (например, на олимпиаде). --- ### 2. Основной принцип работы Программа должна: 1. Определять координаты окна игры **Lineage II** (клиент работает в оконном режиме). 2. Захватывать заданную область экрана, где появляются цифры урона. 3. Выполнять обработку изображения (фильтрация цветов / выделение цифр). 4. Распознават...

suspicious activity detection using deep learning # Features Real-Time Detection: Monitors live camera feeds and detects suspicious activities instantly. Multi-Class Detection: Classifies activities such as harassment, fighting, vandalism, and abuse. Alert System: Sends real-time notifications to authorities upon detecting suspicious activities. Dataset-Based Training: Trained on UCF-Crime, AVENUE Video Dataset, and Violent-Flows for high accuracy. Technologies Used YOLOv8: For real-time object and people detection. CNN-LSTM: For recognizing and classifying human activities. Deep Learning Frameworks: TensorFlow, PyTorch. Backend: Flask/Django (replace with your backend framework). Frontend: Minimalistic web interface for real-time monitoring. Alert System: Email (integrated wit...

I’m looking for a straightforward solution that lets me feed in a list of video links and automatically download everything in one go, saving each file as MP4. One fixed resolution is fine—I don’t need a menu of options, just a consistent quality across all files. You’re free to choose the language and libraries you feel are most reliable (Python with yt-dl wrappers, Node, or even a lightweight desktop utility—whatever delivers stable results). Command-line or minimal-GUI is acceptable as long as the workflow stays simple: paste or import a batch of URLs, hit start, and the videos appear locally in MP4 format with clean, original filenames. Please include clear setup instructions and a quick note on any dependencies so I can get running without guesswork...

I have a working Python web-scraping script that pulls data quickly but bogs down the moment it writes results into my MySQL database. The goal of this upgrade is simple: boost overall run-time by eliminating the storage bottleneck. Here is the current picture: • Language & stack: Python 3.x, standard scraping libraries (requests / BeautifulSoup) feeding a MySQL table. • Pain point: data storage is noticeably slower than retrieval or in-memory processing, turning otherwise fast runs into long waits. • Objective: increase speed—specifically by reworking the way data is written, buffered, or indexed so writes no longer throttle the workflow. What I need from you: 1. Analyse the existing write logic and pinpoint why inserts are slow (inefficient queries, lack of bul...

AI & MACHINE LEARNING TRAINING MANUAL DEVELOPMENT We are urgently seeking a highly qualified Expert Trainer to develop a comprehensive, hands-on Manual and deliver specialized training to Customs of an African country. This project aims to enable the beneficiary organization to autonomously design, optimize, and deploy AI/ML solutions for risk management and customs clearance efficiency. Scope of Work: Develop curriculum and content focusing on advanced technical modules, including: Data Science & Machine Learning: Deep Learning and Python Data Science foundations. Generative AI & LLMs: Advanced Prompt Engineering, Fine-tuning, NLP/Transformers, and API Deployment (LangChain). Methodology: Emphasize practical application, real-world customs use cases, and Capstone projects (...