Python data mining example jobs

...per account - Cross-engagement: accounts interact with each other's content (likes, comments) - Realistic profiles: unique usernames, profile pictures, bios per niche What we already have (so you don't suggest these): - GoLogin antidetect browser (Business plan, 300 profiles) - SpyderProxy mobile proxies - SMSPool for phone verification - TikAPIs for TikTok mobile API signing - Python/Playwright automation code - The main blocker has been reliable proxy infrastructure — accounts get created but sessions drop or proxies fail during warmup What we're looking for: - Someone who is currently running 20+ TikTok or Instagram accounts successfully with real reach (not zero-view shadowbanned accounts) - Your proven stack: what tools, proxies...

...master's research project. The system reads game data (card ranks, suits, player stacks, pot size) from a 1080p poker client video feed. Current setup: Video input: 1080p, 30fps Platform: Windows, Python What I need: High accuracy recognition of card ranks (A K Q J T 9–2) and suits on fixed screen regions Robust numeric OCR for stack/pot amounts (variable text) Must handle compression artifacts typical of video feeds. must handle normalization for more than 1 table analisis. In your proposal, please include: Final price for the complete module Which methods/approaches you would use to achieve the required precision Whether you have prior experience with OCR on live or recorded video, and briefly describe relevant projects Deliverable is a clean Python...

I am Pierre Yancy, Managing Partner of Lumova Aerial & Media, a Kansas City-based drone data company expanding into an AI-powered SaaS platform. We are building — a platform that transforms drone-captured data into building intelligence, condition scoring, and automated inspection reports. Important: All components of this MVP — frontend, backend, UI, reports, and overall experience — must be fully branded under Lumova.ai. This platform will be used in investor presentations and client demonstrations. ⸻ Key Objective: This MVP must clearly demonstrate a simple but powerful concept: We can take building data, analyze it, and produce a clear, understandable score. Think: * Zillow Zestimate — but for building condition...

...legal procedures by breaking down legal terms through in-depth analysis. The goal is for someone reading a charge sheet, a court notice, or a statute citation to ask, “What does this phrase actually mean?” and instantly receive a clear, context-rich explanation that covers statutory background, precedent, and practical implications. Here’s what I need: • A natural-language processing pipeline (Python preferred) that recognises legal jargon in user queries, even when phrased informally, and maps each term to an authoritative definition. • Generation logic that delivers not just a basic definition but a layered explanation: statutory source, relevant case law, typical procedural use, and real-world examples of how the term affects outcomes. • ...

...AI tools. I want to fully automate this process into a scalable system. --- OBJECTIVE Build a system that can: 1. Take a daily master prompt (or multiple prompts for a month) 2. Automatically customize it for each school 3. Send the prompt to an AI image generation tool 4. Generate posters automatically 5. Save images in organized folders with proper naming --- SYSTEM REQUIREMENTS 1. INPUT DATA - School database (50–100 schools) Fields: - school_name - address - phone - logo (image file) - Daily prompts (either: - one prompt per day manually entered OR - full 30/31 prompts uploaded at once) --- 2. PROMPT CUSTOMIZATION ENGINE - Replace variables dynamically: {{school_name}}, {{address}}, {{phone}} - Add strict formatting rules: - K...

Build Python System to Combine Multiple Datasets, Calculate Distance & Manage Outreach Database (Simple One-Click Use) --- ### Description I am looking for a developer to build a **reusable data pipeline (Python preferred)** that combines multiple spreadsheets of UK businesses, calculates distance from my location, and outputs a clean master database for outreach. This will be used for **email marketing and in-person visits**, so distance and data quality are critical. **Important:** I am not technical and do NOT want to learn Python. The final system must be extremely simple to run (see “Ease of Use” section below). --- ### Core Requirements #### 1. Data Integration * Import multiple Excel/CSV files * Initial datasets inc...

...text history from both group and individual chats, and saves every message (plus date, time, sender, and chat ID) into a clean CSV file. Key points • Scope is message extraction only—no sending, no marketing logic. • Both group and one-to-one threads must be handled in the same run. • Output must be a single CSV per execution, ready for import to spreadsheets or a data warehouse. The solution can be written in Python, Node.js, or any language you are confident will compile on a standard Linux server. Please include clear setup instructions and a brief README so I can change credentials and select date ranges myself. Acceptance criteria – Connects via WhatsApp Business API credentials I provide. – Exports every message fie...

Build & deploy configurable stock scanner on client VPS: reads up to 10 Unicode symbol files, Alpaca real-time IEX data feed, configurable timeframe (H1/H4/D1/W1), X% price increase + N-candle volume filters (all inputs runtime-configurable, nothing hard-coded), 4 separate timeframe output files, 8 hourly automated runs, GUI for on-demand scans, full VPS environment setup (Python, libs, Alpaca SDK, scheduler, logging). Includes source code and documentation.

I am setting up a steady pipeline of hiring rounds and need a seasoned backend specialist to act as my external interviewer. The role is purely technical-assessment focused and covers both Node.js and Python since our stack toggles between the two. Here’s the flow I have in mind: • Before each session you craft or select a concise, real-world coding exercise that touches on algorithms, data processing logic or lightweight API work—nothing contrived, just the kind of task an engineering hire would tackle on day one. • You run a live 45- to 60-minute remote interview with the candidate, giving them the prompt, watching their screen, asking clarifying questions and probing for edge-case thinking. • Immediately afterward you deliver a written score...

...remove products, set prices, and view orders. • Real-time status updates: pending, paid, fulfilled. • Option to broadcast new-product announcements to all past buyers. Tech requirements • Telegram Bot API • Crypto payment API or on-chain listener (BTC, ETH, or USDT on ERC-20—open to your suggestion). • Secure storage of product files / license keys. • Clean, well-commented source code—Python, Node, or another widely supported language is fine as long as hosting is straightforward. Deliverables 1. Complete, production-ready bot deployed to my server or preferred hosting. 2. Source code in a private repo. 3. Step-by-step setup and usage guide. 4. One week of post-delivery support for bug fixes or minor tweaks. When yo...

...fine-tuned to recognise: • whether a piece of English text expresses toxicity, • weather the text refer to someone junior from senior. Rate the toxicity of the next based on certain parameters. The data you will receive arrives in CSV files—each row contains a single text sample plus a label column I already prepared for validation. If you would like to prototype on plain text or JSON first, that is fine, but the final pipeline must ingest the CSV format directly so I can drop new files in without extra preprocessing. What I’m expecting from you • A reproducible training script (Python + preferred deep-learning library) that loads the CSVs, applies any necessary cleaning, and fine-tunes the base model. • The trained model weights an...

I already have a working Python + Selenium script that logs in to Instagram and navigates to the correct page. The part that is still missing is the section that: • finds every visible “Follow” button with class_name • clicks each of those buttons • scrolls the page far enough to load the next batch of profiles and repeats until no more visible Follow buttons remain. Important notes • XPaths are unreliable here because they change after each click, so I specifically need a class-name-based solution. • I do NOT need a whole new script—just the concise, drop-in Python code block (ideally a reusable function) that I can paste into my existing project. If this sounds straightforward for you, send me a short fixed-price offer by ...

...structure car data along with images. The goal is to create a clean, well-organized dataset of car brands, models, generations, and their technical specifications. Responsibilities: Collect automotive data (Brand → Model → Generation → Year) Gather full technical specifications, including: Engine (type, power, torque) Transmission Fuel consumption Dimensions Performance (0-100 km/h, top speed, etc.) Find and attach high-quality images for each car (preferably multiple angles) Ensure data accuracy and consistency Organize all data into a structured format (Excel / Google Sheets / CSV) Data Structure Example: Brand Model Generation Production Years Engine Specs Horsepower Torque Fuel Type Transmission Drive Type Body Type Image UR...

...specifications; I do not need images or pricing data. The scraper should: • Handle pagination, dynamic or lazy-loaded sections, and common anti-bot measures without overloading the servers. • Output clean, well-structured data (CSV or JSON preferred) ready for import into my internal system. • Be written in readable, well-commented code—Python with Scrapy, BeautifulSoup, or Selenium is ideal, but I’m open to equivalent approaches if they achieve the same reliability. • Include simple configuration so I can add or swap target domains later. • Respect directives and configurable request delays. Acceptance criteria 1. Running the script against a supplied test URL set returns all visible text fields with 0% missing ...

I have a set of PDFs that contain purely textual information presented in a mix of paragraphs, scattered labels, and occasional row-style groupings. I need every single data point moved into a clean Excel workbook so nothing is lost in translation. Because the layout switches between narrative blocks and ad-hoc table-like sections, the job will likely involve both automated capture (Python, Power Query, or your preferred OCR tool) and some careful manual cleanup to preserve order and context. Deliverable: one well-structured .xlsx file per source PDF, with all columns and data fields represented exactly as they appear, ready for filtering and analysis. Consistent header naming and no stray line breaks or merged cells, please. If you’ve handled mixed-format PDFs...

I'm looking for an experienced sales freelancer to find and close clients for Machine Learning and Python development projects. Your job is to prospect potential clients, pitch our services, and bring in signed projects. You will handle the initial communication until the client is handed off to our technical team. We work on ML models, data analysis, Python automation, AI solutions, and chatbot development. This is a commission-based role. You earn a percentage of every project you close. The more you bring in, the more you earn. Remote and flexible work arrangement. Ideal candidate has experience selling tech or software services, knows how to use platforms like LinkedIn or Upwork for outreach, and has strong English communication skills. Please include examples...

...on above mentioned scope: Code updates as per the requirements discussed. Spreadsheet will be shared * Clean RBAC implementation * Live deployed API (Alibaba or huawei cloud) * Minimal documentation Timeline: 24–36 hours (must start immediately) Requirements: * Strong experience with FastAPI, Node.js, Javascript, python * Proven API security (JWT/RBAC) * Cloud deployment experience (Alibaba preferred) Screening: Include: 1. Similar API/RBAC work 2. Cloud deployment example 3. Confirmation you can deliver in 36 hours Note: Codebase is ready. Expecting fast, clean execution. Potential for ongoing work (scaling phase)....

...feel free to flag them—extra context is always welcome. Please turn the raw data into: • A concise slide or PDF summary that tells the story in plain language. • Clear visualizations (bar/line charts, heat maps, etc.) that I can drop straight into management reports. • A short, actionable list of improvement ideas backed by the numbers. You may use Python (pandas, matplotlib, seaborn), Excel, Power BI, or another mainstream analytics tool—whatever lets you work fastest and document your steps for repeatability. Include your cleaned or transformed dataset and any code/notebooks you write so I can rerun the analysis later. Acceptance criteria: 1. All findings align with the supplied CSV and focus on last-month data only. 2. Visuals ...

...slots pulled from our scheduling system. 3. Let patients reschedule or cancel the same way—still inside the live chat—while respecting availability rules and preventing double-bookings. I’m happy with either Python or TypeScript for the core logic; use whatever fits best with your preferred NLP stack (e.g., LangChain, Rasa, or a custom transformer model). The finished chatbot should embed neatly on our website, maintain context across the conversation, and push confirmed appointments back to our calendar via API. Deliverables • Clean, well-documented source code (Python or TypeScript) • Integration instructions and a brief README • A small test dataset or demo account so we can run acceptance tests • Short hand-off call...

I am looking for someone who can take me from zero to a fully working Retrieval-Augmented Generation setup. The heart of the build is a robust vector database because the system must excel at high-dimensional data analysis: documents or embeddings come in, relevant context is pulled in milliseconds, and the language model produces grounded answers. Here is what I need the finished solution to do: data ingestion, embedding creation, storage inside the chosen vector store, fast similarity search, and seamless hand-off of results to the LLM for final generation. I am open on stack (Python-based pipelines, LangChain, FAISS, Milvus, Pinecone, or another tool you are comfortable with), as long as it remains well-documented and reproducible on a standard cloud VM or containe...

his commission-based opportunity is for a proven IT sales professional who can deliver real, paying startup clients—especially in the E-commerce space—who need full-cycle web and mobile app development on React, React Native, PHP, or Python (Django). Scope of work You will find, pitch, and close deals directly with decision-makers. The focus is on both web and mobile projects, so conversations must confidently cover discovery, scope, timeline, and our technical strengths. No intermediaries, no reseller arrangements—only direct, billable clients count. Payment terms • Pure commission: 10 %–40 % of every invoice you secure • Payout released only after the client’s payment clears • No retainers or upfront fees Quality requirements • ...

...11-stage Python pipeline that converts dashcam video and GPS/IMU telemetry into a top-down map of highway work zone assets (cones, drums, signs). The pipeline is built and running end-to-end. We need an engineer to test it thoroughly, validate outputs, and fix remaining issues. Pipeline Summary 11-stage offline pipeline: Stage 1-3: Telemetry preparation, keyframe extraction, video/GPS sync Stage 4: COLMAP sparse SfM reconstruction Stage 5: Metric scale alignment (GPS + physical reference measurement) Stage 6-7: Manual and auto annotation tools (browser-based) Stage 8: Multiview triangulation of asset 3D positions Stage 9: Taper ordering and work zone measurements Stage 10: Ground truth validation Stage 11: Report generation (, , ) Tech Stack Python 3.10+ COLMAP

I'm seeking an experienced finance data analyst to perform panel regression analysis using the fixed effect model. Key tasks include: - Conducting panel regression analysis - Fixed effect/randome effect model application - Performing robustness checks Descriptive statistics Correlation matrix Ideal skills and experience: - Proficiency in econometrics and panel data analysis - Strong analytical skills - Experience with statistical software (e.g., R, Stata, Python, LSEG refinitiv) - Finance background is mandatory to do this

I’m producing a short piece of educational content aimed at adul...coaching graphics, Minimal skeleton UI animations - CSV structure: X, Y, Z coordinates, but we will use only 2D projection) – Full production inside Blender’s 2D workspace (Grease Pencil). – Original, stylised character and background designs that stay playful yet still resonate with an adult audience. Deliverables 1. Editable .blend file with organised layers. 2. Working Blender .blend file Python script (well structured) Ability to adjust: Joint sizes Line thickness Colors 3. Any external textures, fonts or reference sketches used. If this matches your skill set in Blender’s Grease Pencil pipeline and you can maintain clear communication on iterations, I’m ready to shar...

...primary data streams—electronic health records, medical imaging, and genetic information—while remaining HIPAA-compliant throughout the pipeline. The finished solution has to feel seamless on every major channel: a responsive web interface, companion mobile apps (iOS and Android), and a lightweight desktop client for Windows and macOS. Whichever framework you prefer—React or Angular for the web, Flutter, React Native or Swift/Kotlin for mobile, Electron or .NET MAUI for desktop—choose what lets you move fastest without sacrificing reliability. On the back end, I expect modern ML tooling (Python, TensorFlow or PyTorch, scikit-learn, FastAPI/Flask for service layers) and clean DevOps practices (Docker, Kubernetes, CI/CD) so that the models stay repr...

...to add them • Analytics for open rates, click-throughs, opt-ins, and sales attributed to the bot Deliverables 1. Flow diagrams (PDF or Miro link) for approval before coding 2. Complete, documented source code and deployment scripts 3. Step-by-step handover guide and a live walkthrough on Zoom 4. One-month post-launch support to iron out edge cases I am comfortable with Node.js, Python, or low-code frameworks—choose whatever lets you move fastest while staying compliant with WhatsApp policy. If you have previous examples of revenue-driving chatbots, include a short case study when you bid....

...structured logs. • Replay & mutation: let me take any captured call, modify parameters or the body, and re-submit it so the Mini Program backend treats it as genuine. • Response handling: return the server’s reply to the script, parse it the same way, and expose it in an object or JSON file so follow-up automation is easy. Deliverables – Full source code (Python, Node.js, Go, or another well-documented language of your choice) – An example script that captures, edits, and replays at least one live Mini Program request, proving that the response is successfully retrieved – Setup instructions for Windows (install steps, certificates, environment variables) – Brief developer notes explaining where in the code I can exte...

...root causes of slow performance (e.g., API latency, database bottlenecks, or container overhead). ​Refactored or rewritten components that eliminate those delays. ​Clear documentation of changes and structured outlines so my internal coders can straightforwardly manage future updates. ​A brief performance test suite demonstrating measurable speed improvements. ​The Stack: Our system relies on a Python and FastAPI backend, alongside Node.js, communicating with a modular PostgreSQL database, all containerized via Docker. We also utilize Flutter for cross-platform applications and integrate with Odoo. If you’re comfortable profiling Postgres queries, caching intelligently within containerized environments, and applying best practices for enterprise-grade transactional systems,...

I will have a google sheet, which will have over 500 product urls. Each URL will have between 5 to 100 variations Once I run the script, it should check all the urls in the google sheet, and all its variations, to see if the strikethrough pricing is shown for that variation or not. If for any Script : scraping for a list of URLS to check if strikethrough price is shown or not If any variation is not showing strikethough, then include that variant url in the google sheet This needs automation. Not a manual work Bid if you can do this in 24 hours

...be visually appealing, fast-loading, and optimized for both desktop and mobile devices. Scope of Work: Design and develop a fully functional website from scratch Create a clean, modern, and attractive UI/UX Ensure responsive design for mobile, tablet, and desktop Develop frontend using HTML, CSS, JavaScript (or frameworks like React) Backend development using technologies like Node.js / PHP / Python (as required) Database integration (MySQL / MongoDB) Implement user authentication (login/signup) if needed Add required features such as forms, dashboards, APIs, etc. SEO-friendly structure and fast performance optimization Fix bugs and ensure smooth functionality Deploy the website on a hosting server Required Skills: Strong knowledge of HTML, CSS, JavaScript Experience with fro...

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

I’m enrolled in an online course and want to r my technical skills further, but I learn faster with direct guidance than through videos alone. I’m ...that reinforce each new concept • Feedback on code snippets or mini-projects so I can spot and fix mistakes early • Pointers to high-quality reference materials and tools that complement the course The course itself covers core programming fundamentals and branches into basic web development, so experience with version control, HTML/CSS, JavaScript, and a beginner-friendly backend language (Python or Node) is ideal. If you’re patient, clear in explanation, and comfortable tailoring guidance to a self-paced learner, I’d love to work together. Let me know your availability and how you normally str...

I need a fully-async Python 3.11+ pipeline that turns a live phone call into a smooth, sub-2.5 s p50 conversational loop. Here’s the flow I have in mind: a Twilio SIP trunk delivers the RTP stream to a WebSocket bridge; LiveKit Agents SDK manages the media session; Deepgram Nova-3 handles streaming STT; the running transcript feeds Claude (with tool-use enabled); Claude’s text comes back out through ElevenLabs Flash v2.5 for TTS and streams to the caller in real time. What I need from you is a working reference implementation, instrumented and tuned so I can see latency at each hop and fine-tune Voice Activity Detection thresholds. The code must retry transient errors, log everything that matters, notify the caller gracefully on trouble, and, if the Sonnet tier fails m...

I need an experienced Python developer to create a reliable browser automation script for a multi-step online registration/account creation process. Project Requirements: - Must be written in Python - Must implement reCAPTCHA v3 (hidden/invisible) solving via API (no browser plugins or extensions allowed) - Simulate realistic human-like behavior (typing speed, mouse movements, natural delays) - Support proxy usage - Handle dynamic page loading, form filling, button clicks, and element waiting - Clean, well-commented, and maintainable code What I will provide: - Exact flow and selectors - Captcha API credentials - Proxy list The script should be stable and designed to minimize detection. Please only apply if you have strong experience with modern browser automation tools (Pl...

Heart Rate Data Analysis & Formula Development I am looking for a skilled freelancer with a background in sports physiology, biomedical engineering, or data science to support the development of formulas and algorithms derived from heart rate (HR) and R–R interval data. Scope of Work: The requirement includes deriving and validating formulas for: Heart Rate Metrics Heart Rate (HR) Resting Heart Rate (RHR) Heart Rate Variability (HRV) Parameters RMSSD SDNN pNN50 ln(RMSSD) Training Metrics Heart Rate Zones (Karvonen method) Training Load (TRIMP or equivalent) Time in Zone (TIZ) Heart Rate Recovery (HRR) Sleep & Recovery Metrics Sleep stage estimation (HR/HRV-based) Sleep score modeling Recovery/readiness score Expected Deliverables: Mathematical formula...

...configuration. Real-Time Updates: Implement WebSocket () for live call status. Admin dashboard for monitoring active calls. Payment System: Integrate crypto payments for subscriptions. Admin Panel: User management (CRUD). Call logs and system settings. Database: Design schema for users, calls, and subscriptions (PostgreSQL/MongoDB). Tech Stack Backend: Node.js (Express) or Python (FastAPI). Real-Time: Socket.IO. Telephony: Twilio/Plivo API. Payments: Crypto API or Stripe. Database: PostgreSQL or MongoDB. What’s Done Frontend UI (all pages ready). Static forms (needs dynamic API connection). Your Job Build backend APIs. Connect frontend to backend. Integrate Twilio, WebSocket, and payments. Ensure scalability and security. Requirements Experience with Tw...

...dashboard. The focus of this project is minimizing latency between signal generation and order execution while maintaining regulatory compliance (Order-to-Trade Ratio constraints). The developer must understand low-level performance optimization, concurrency architecture, and Linux system behavior. Core Technical Requirements Python Version (Mandatory) The engine must use: Python 3.13 Free-Threaded build (3.13t) NOT standard Python 3.10–3.12 Reason: Standard Python uses the Global Interpreter Lock (GIL), which blocks true parallelism. In low-latency systems, a 1–2ms delay caused by GIL contention is unacceptable. Multi-Core Architecture with CPU Core Pinning The engine must: Assign specific modules to specific CPU cores Use os.sched_set...

...better comes along, pushing real-time notifications to me, and doing all of this fast enough to pick the shift up within milliseconds of it becoming available. Everything happens through the public web interface, so the script will have to handle login, schedule navigation, and any captcha or timing hurdles Amazon may insert. I’m happy for you to choose the stack—Playwright, Selenium, Puppeteer, Python, JavaScript, or whatever you believe will achieve sub-second reaction times—so long as the final solution can run headless on my own machine (Mac) or a small VPS and is straightforward to configure with my credentials. Acceptance criteria: • Captures an open shift within <1 second of its appearance during a live test • Allows a one-click command...

...later. What I will hand over: • A concise description of the business context, the decision variables involved, and any hard limits or relationships that must hold. What I expect back: • A fully formulated LP model (objective function and constraints) expressed in standard mathematical notation. • A working solution file that can be run in either Excel Solver, LibreOffice Calc with Solver, Python (PuLP, Pyomo or similar) or another open-source tool—please specify your choice up front. • A short write-up (one to two pages) explaining the results, shadow prices and any sensitivity insights so I can understand how profit responds to changes in key parameters. Acceptance criteria: • Objective function must explicitly maximise profit; no surrogate...

...surface clear business insights to owners without forcing them into complex dashboards. All conversation and data flow will happen inside WhatsApp, powered by a backend that exposes clean REST or GraphQL endpoints. Machine Learning sits at the core of the product: models have to analyse buyer intent in real time, recommend the most relevant properties, and even flag emerging market trends that can influence pricing or inventory strategy. I already have the product vision and early user stories; what is missing is the end-to-end build that ties WhatsApp Business API, the ML pipeline, a lightweight dashboard, and solid authentication together. Tech stack expectations • Backend in Python or Node.js with well-structured server logic and authentication • React /...

I...visual reports they can export to PDF or Excel. Key expectations • Simple, modern UI where users can create multiple budgets, assign categories, and set custom periods. • Automatic calculations of variances and percentage differences. • Dashboard with charts (bar, pie, line) for quick insights. • Secure local or cloud-based data storage with user authentication. • Import / export in CSV, XLSX, and PDF formats. • Clean, well-documented code (Python, JavaScript, or another mainstream stack is fine) so future modules—such as expense tracking or invoicing—can be added without a rewrite. Deliverable A fully functional desktop or web application, installation guide, and brief user manual that walks through creating a fir...

I’m looking for a developer who can build a Windows-based script that sits in the background 24/7, talks to the A...functional monitoring script or executable. 2. Simple configuration file or UI for login, email-based 2FA, and location filter (Whole Foods). 3. Live demo showing an instant offer surfacing inside my Amazon Flex app. 4. Installation guide and brief technical write-up. In your proposal, outline: • Total project price and timeline. • The core technologies or libraries you plan to use (e.g., Python + Selenium, REST polling, headless browser). • How you will persist the session to reduce 2FA prompts and pass Amazon’s security checks. I’ll release $150 upfront once we kick off, with the remainder due after I see a real offer ...

...each binary and identify the vulnerability (e.g., buffer overflow, format string, etc.) Develop a working exploit for each challenge Ensure the exploit works both locally and against the remote service Use Python (pwntools) for exploit scripts Deliverables: → working exploit for challenge 1 → working exploit for challenge 2 → explanation of vulnerabilities and exploitation steps → both flags obtained from the challenges Required Skills: Strong experience in binary exploitation (pwn) Familiarity with GDB / pwndbg / gef Experience with pwntools (Python) Understanding of protections such as NX, PIE, RELRO Prior CTF or reverse engineering experience preferred Please include in your proposal: Examples of similar CTF or pwn challenges you have solve...

Description: I have a fully functional Telegram Reward Bot running on Python (Telebot) with a PostgreSQL database on Railway. I am expanding this into a Web-based Task System (Task Point Media). What is already done: Full Telegram Bot logic and Database schema. User management and balance system. Basic Postback listener logic. What I need from you (The Expert): Web Bridge: Create a simple, high-speed PHP or Python web-dashboard that fetches User ID and Balance from my existing PostgreSQL DB via a secure URL token. Iron-Clad Security (Crucial): Device Fingerprinting: One device, one account only. VPN/Proxy Detection: Block all tasks if a user is on a VPN/Proxy (mandatory for CPA/AdMob/Unity). Anti-Fraud: Root/Jailbreak detection and Emulator blocking for the webview. SQL Injec...

I need a robust computer-vision pipeline that can automatically spot and label consumer-goods products in high-resolution images captured on our manufacturing line. The goal is to distinguish each ...labels for each detected consumer-goods product • Brief deployment guide so my team can replicate results on their own workstation or server Acceptance criteria 1. Mean Average Precision (mAP) ≥ 0.85 on a held-out test set I’ll provide. 2. Inference time ≤ 120 ms per 1920×1080 image on an RTX 3060. 3. Clean, well-commented Python code that installs with a single or environment.yml. If you have existing models that can be fine-tuned on our data, mention that in your proposal along with any relevant benchmarks you’ve achieved on similar manuf...

...customising a scraper in Python that navigates the chosen platforms, capturing posts, comments and any associated meta-information I specify; cleaning the raw output to remove emojis, markup, duplicate lines and other noise; and packaging the final, deduplicated dataset as a CSV or JSON file. Please write the code so I can rerun it anytime (command-line script or Jupyter notebook is fine) and include concise setup instructions plus brief inline documentation. I expect respectful rate-limit handling and compliance with each platform’s public-data policies. Acceptance will be based on: • Accurate capture of the requested text fields from the sample profile list I provide • Fewer than 1 % duplicate rows after cleaning • Script runs end-to-end on my ...

I have some issues with a small Python script that takes a folder of JPEGs and merges them into one PDF through the img2pdf library. The core logic is in place, but three persistent headaches remain: some images refuse to convert, the resulting PDF occasionally comes out corrupted or out of order, and every now and then the script throws runtime errors that halt the process entirely. While you’re inside the code, I’d also like two modest upgrades: • Image compression so the final PDF is reasonably sized without a visible loss of quality. • A clean, custom-naming option that lets me specify the output PDF name from the command line or a simple GUI prompt. Everything is executed on Windows, so please make sure any path handling, dependencies, or testing aligns ...

I have a Windows-based desktop application that must talk seamlessly with GoHighLevel (GHL), Clay, and Rb2b so that automated workflows fire without any manual intervention. The goal is simple: once data enters any one of those three services, the integration should trigger the right actions in the desktop app—creating records, updating statuses, or kicking off scheduled tasks—exactly as if a human were clicking through each platform. Here’s what matters most to me: • Only the automated workflow capability is mandatory right now. If you have elegant ideas for adding data sync or real-time alerts later, that flexibility is a plus, but first deliver rock-solid workflow automation. • The solution must run reliably on current Windows builds and in...

...equal rigor. The system will ingest three primary data streams: peer-reviewed medical literature, de-identified patient health records, and curated clinical-trial datasets. I already have secure access paths for each source; what I lack is the unified pipeline that cleans, embeds, and indexes the content so the model can ground every answer in verifiable evidence. Python, LangChain (or comparable orchestration), Hugging Face transformers, and a vector store such as FAISS or Pinecone feel like the natural toolkit here, but I am open to persuasive alternatives if they improve latency or compliance. HIPAA-level security and full audit trails are non-negotiable. Deliverables • Data-ingestion and cleansing pipeline connected to all three data sources &...

To deliver the postgre python flask app