Python Jobs

Hi, I have an idea for a simple Windows computer program, but I’m not a developer — I just know what I want it to do. I’m looking for someone who can build it for me from scratch. What I want: I want a small app where I can paste some text, then click into another program (like a website, Word, chat box, etc.), and the app types that text for me — slowly, with natural pauses, like a real person typing on a keyboard. Important: it should not just paste the text all at once. It should type letter by letter, so it looks more natural. Basic features I’d like: - A simple window where I can put my text - A start button (with a short countdown so I have time to click where I want it to type) - Keyboard shortcuts to start/pause - Ability to choose how fast it typ...

I have an existing front-end ready to go and now need a solid Python backend built and put online. Please architect and code the server side in Python—feel free to choose the framework you are most comfortable with (Django, Flask or FastAPI all work for me) as long as it is scalable and well-structured. Core expectations • Develop clean, well-documented code that exposes all required endpoints so the front-end can log users in, store and retrieve data, and talk to third-party services. • Set up a production-ready database and handle migrations. • Configure, secure and deploy the application on a reliable cloud host. I did not lock us into AWS, GCP or Azure, so recommend the platform that best fits the stack you build. • Hand over deployment scripts (Docke...

I need to add a fully-featured company-formation module to my existing platform, , and I only want to work with someone who already knows the quirks of the UK Companies House API and the London Gazette feed inside out. The core of the job is threefold: • Real-time incorporation and filing through the official Companies House gateway, including immediate confirmation screens and downloadable incorporation documents. • Automated data harvesting from both Companies House and the London Gazette, with daily parsing of strike-off (DS01) notices and any other relevant events we define together. • On-platform document generation and management so my users can retrieve incorporation certificates, share certificates, and ongoing statutory forms in a couple of clicks. What will...

I need a simple automation tool that extracts financial data from WhaleWisdom stock pages. Example: Changing the ticker in the URL loads another page (e.g., /stock/MTH). Requirements Input: stock ticker Scrape the data of the 25 first company of the last two quarters (see picture and the columna needed) Clean numeric values (remove commas so numbers can be used in calculations) Automatically export the data to Excel in a predefined format Goal: A one-click workflow: enter a ticker → run the script → the Excel file is automatically filled with the latest two quarters of data. I don't have any API key

I’m assembling a small toolkit to speed up penetration-testing engagements and want lean, well-documented scripts in both JavaScript (browser or Node) and Python. The focus is offensive OSINT: harvesting publicly available data, mapping an organisation’s web surface, and producing quick proof-of-concept exploits or reports that I can drop straight into an assessment. Core scope – Automate open-source intelligence collection (DNS, subdomains, metadata, common misconfigs). – Chain findings into actionable steps that demonstrate real-world impact, not just raw data. – Keep each script portable: zero external dependencies when reasonable; otherwise pin versions and explain installs. – Provide clear in-line comments so I can tweak payloads during liv...

I need an experienced Pine Script developer to create a custom trading tool on TradingView for scalping. Key Requirements: - Implement custom indicators based on mathematical formulas. - Set up automated alerts for specific market conditions. - Develop backtesting capabilities to evaluate the strategy's performance. Ideal Skills & Experience: - Proficiency in Pine Script and TradingView. - Strong understanding of scalping strategies. - Experience with custom mathematical indicators and backtesting tools. - Ability to deliver precise and error-free scripts. Please share relevant experience and approach.

I am building a small learning project for my Diploma in ICT and need a clear, well-commented Python solution that reads a JSON dataset, performs descriptive statistics, and presents the results in a way a newcomer can understand. Here is what I have in mind: • The script should load a supplied JSON file, validate its structure, and extract numerical fields automatically. • Compute key descriptive measures such as count, mean, median, mode, min-max range, standard deviation, and any other basic metrics that add insight. • Display the findings in a tidy console table; a simple Matplotlib or Seaborn histogram for at least one variable would be a plus but not mandatory. • Keep everything beginner-friendly: straightforward function names, docstrings, and inline c...

In my current OBS Studio scene I combine a live webcam feed (Video Capture Device) with a browser source overlay. I need an automated way to trigger replays that record only the webcam feed—leaving the browser layer out—then save each replay as an MP4 in a dedicated folder for later use. Here’s what I’m after: • A script, filter, or lightweight plugin for OBS Studio that isolates the webcam source when the replay buffer is saved. • Replays must be written directly to a folder I can set beforehand, with sequential filenames or timestamps so nothing is overwritten. • Output format is MP4. No post-conversion steps—I want the file ready to drop into editing software immediately. • A brief setup guide so I can install, configure, and ad...

I need a reliable, low-latency feed that lets Excel pull live prices from the TAB bookmaker for horse racing, harness racing and greyhound meetings. The workbook should refresh on demand (or at a user-set interval) and display each runner’s win and place odds along with race time, track, and any standard identifiers you fetch from the API. You’re free to use Power Query, VBA, Python, or any other method that keeps the refresh process simple for a non-technical end user. If the TAB API requires authentication or session tokens, build that in so the sheet reconnects automatically without exposing keys in plain text. Deliverables • A working Excel file pre-wired to the TAB live-odds feed • Well-commented source code or scripts used to make the connection • A b...

I have a collection of PDFs and I need every embedded image pulled out—nothing more, nothing less. The task is strictly data extraction from documents, focusing on images inside those PDFs. What I will hand over: • A folder of PDF files (varied page counts). What I need back: • All images extracted at their original resolution and colour profile. • Logical file names (e.g., source-file_pXX_imgYY) and tidy sub-folders that mirror the PDF order. • A single ZIP archive containing the organised images. Acceptance criteria: 1. No loss in quality—image dimensions and DPI must match the source. 2. Every page checked; confirm in a short report how many images came from each file. 3. Final ZIP uploads without corruption and opens on both Windows and macOS. ...

I want to put a complete, web-ready AI expert system online that suggests the best laptop for a user based on a few quick questions. The core of the project is a rule-based engine built with Experta in Python and wrapped in a Streamlit interface. Scope of work • Create or refine the rule base so that recommendations place the strongest weight on RAM and CPU, while still considering GPU, storage, OS and intended usage. • Design a simple, clean Streamlit front end—no clutter, just concise inputs and an easy-to-read results panel. • Load and preprocess a laptop data set (I can supply one, or you can extend it) and keep it in a Pandas-friendly format. • Return a ranked list of laptops with a brief rationale for each choice. Deliverables 1. Fully comment...

I’m stuck on a Capture-the-Flag challenge that hides a flag inside an image and I need a fresh set of eyes right away. The file has already been downloaded and verified; I simply can’t locate or extract the hidden data. Your task is to walk me through the full solve or hand me the flag itself, explaining every step so I understand the logic and the tools used. • No additional hints have been provided by the organisers. • Time is critical—I’d like to wrap this up as soon as you’re able. Deliverables 1. The recovered flag in its original format. 2. A concise write-up detailing the strategy, commands, and utilities you used (e.g., binwalk, steghide, zsteg, exiftool, custom scripts) so I can replicate the process in future challenges. 3. Any sc...

Python AI CRM Automation MVP — API Integration & AI Workflow I am building an AI-powered CRM automation system for a business and are looking for a strong Python developer to help develop the initial technical MVP. The system will connect a CRM/API with a Python backend and an AI layer to automate selected customer and lead-management workflows. This is intended to become a longer-term project, but we want to begin with a focused technical milestone before expanding the scope. The proper developer will help with: * Python backend development * CRM API integration * REST API development * Database design and queries * CRM data retrieval and updating * AI/LLM API integration * Structured data processing * Automation workflow implementation * Error handling and logging * Basic a...

Our team relies on Odoo’s Sales, Inventory, and Accounting apps, and we’ve reached the point where the out-of-the-box setup no longer fits our workflow. I need an Odoo specialist who can: • Custom-tailor each of the three modules so screens, fields, and logic align with the way we actually sell, stock, and book revenue. • Integrate Odoo with our existing third-party tools (CRM, courier API, and a small in-house finance dashboard) so data flows seamlessly. REST and XML-RPC experience will be handy here. • Walk the core users through the revised environment, recording short how-to sessions so new staff can self-train later. Key acceptance criteria • All customisations survive standard Odoo upgrades. • End-to-end order flow (quote → invoice)...

I want to extend my current Odoo environment with a tailor-made Sales Management module. This is not a vanilla install or a bit of configuration—I need full custom module development that plugs cleanly into the existing stack and follows Odoo best-practice coding standards (Python, XML views, qWeb, ORM). Core scope • Quotation Management – streamlined quotation creation, versioning, and automatic status tracking. • Sales Reporting – dynamic dashboards and exportable reports that slice by product, salesperson, and period. • Customer Relationship Management – lightweight CRM touches tied directly to the new sales workflow so every interaction is logged and searchable. Acceptance criteria 1. Module installs through standard Apps interface with ...

Talsolution is seeking experienced U.S.-based technical professionals for potential client engagements. Open Technical Areas: • Senior DevOps / Cloud / SRE Engineer • Senior AI / Machine Learning Engineer • Senior Data Engineer What a Typical Day May Include: • Attending daily standups, sprint planning and client meetings • Discussing project requirements and technical solutions • Clarifying priorities with clients and engineering teams • Providing accurate progress updates • Coordinating technical implementation and project delivery • Completing assigned engineering work • Following security, confidentiality and compliance requirements Qualifications: • Senior-level professional experience is preferred &bull...

I need a clean, interactive dashboard—similar in layout and fluency to the file I attached—that turns raw user-behavior logs into clear visual insights. The immediate scope is simple: pull page-view data from our existing database or CSV export, process it in real time (or near real time), and display it through intuitive charts and trend lines. Core requirements • Data source connection: MySQL or a flat CSV is fine; whichever lets us automate daily refreshes fastest. • Visual components: at minimum a time-series line graph for overall traffic, a heat map for peak hours, and a top-pages bar chart. • Tech stack: I am flexible—React + , Vue + ECharts, or even a lightweight Python/Flask backend feeding Plotly. Use what you’re fastest with, but kee...

I need a web-based application that taps into Gemini AI to automate the most time-consuming part of hiring: screening incoming resumes. The core of the build is a smart filter that can instantly parse an uploaded PDF, DOCX, or LinkedIn export, run keyword matching, gauge overall experience level, and score demonstrated skills against a role profile I define. Key flow • Recruiter uploads one résumé or an entire folder. • Gemini analyzes each document, tags relevant keywords, measures years of experience per skill, and produces an overall fit score. • A results page ranks candidates, lets me drill into AI-generated rationale, and allows CSV export or direct push to an ATS through REST endpoints. I only need the resume-screening module for now—in...

AI-Based Football Video Analytics – Research Project I’m looking for an AI/ML + Computer Vision developer/researcher to develop an experimental research prototype + research paper on: “AI-Based Low-Cost Video Analytics System for Assisting Grassroots Football Talent Identification.” Project Scope I already have football video footage. The goal is to build a research-level prototype, not a commercial application. Workflow: Football Video → Preprocessing → Player Detection (YOLO) → Player Tracking (ByteTrack/BoT-SORT) → Movement/Position Analysis → Feature Extraction → Player Performance Metrics → Analytical Player Profile Possible metrics include distance, estimated speed, movement intensity, trajectories, field/zone coverage,...

I need a production-ready AES implementation that I can drop into our stack to protect data at rest. The focus is on clean, well-documented source code that supports 128, 192, and 256-bit keys, CBC and GCM modes, plus straightforward hooks for key rotation. My environment is a mix of Python micro-services and a Java back-end, so a portable C/C++ core wrapped for those languages—or native, equally secure versions—would work. What matters most is that the code passes standard NIST test vectors, includes unit tests, and ships with a concise integration guide. Deliverables: • Fully commented AES library (source + build instructions) • Test suite confirming compliance with FIPS/NIST vectors • Short README covering integration and key management reco...

I have a corpus of plain text that needs to be explored through topic modeling. The job is strictly data analysis: no data entry or cleaning tasks are required beyond the usual NLP-oriented preprocessing steps. What I expect you to do • Pre-process the text (tokenisation, stop-word removal, lemmatisation, n-grams as needed). • Build and tune one or more unsupervised models—LDA, NMF or any well-justified alternative—for coherent topic extraction. • Interpret each topic with clear keyword lists and, where helpful, short example snippets. • Provide reproducible Python code (Jupyter notebook or .py script) plus a brief write-up of methodology, parameter choices and results. Acceptance criteria • Code runs end-to-end on my machine without missi...

I need a web-based school management platform whose core mission is to streamline teacher and student interactions. The heart of the build will be two features: • Assignment submissions – teachers create, distribute, collect and grade work online; students upload files or type directly in the portal, with deadline enforcement and automatic time-stamping. • Classroom announcements – an easy, broadcast-style notice board so teachers can post news, resources and reminders that instantly reach every enrolled student, complete with push or email alerts. A clean dashboard for teachers, students and an admin is essential, and the interface must be intuitive on desktop, tablet and mobile. I’m open to the stack—Laravel, Django, Node/React or another modern fram...

I need a Telegram bot that can sell my research-use peptides directly inside the chat. The essential feature is a smooth product catalog where buyers can browse items, add them to a cart, and pay through Stripe without leaving Telegram. Here’s the flow I have in mind: a user starts the bot, browses peptides by category, selects quantities, confirms shipping details, and receives a Stripe checkout link. Once payment is confirmed via Stripe’s webhooks, the bot should notify me in Telegram (and optionally email) with the full order details. An admin interface—either inline in Telegram or a lightweight web panel—must let me add, edit, or remove products, update prices and stock, and review order history. I don’t need order tracking or live customer support right...

I have a single raster image that needs to be turned into a clean, GIS-ready shapefile. The goal is to generate polygon features that clearly delineate two zones across the entire image. Please work with whichever desktop or scripting tools you are most comfortable in—ArcGIS Pro, QGIS, GDAL, Python (rasterio, geopandas) or similar are all fine—so long as the final deliverable meets these criteria: • ESRI Shapefile (SHP, SHX, DBF, PRJ) containing polygons representing the distinct two zones extracted from the raster • The image is not georeferenced. Recommended coordinate system WGS84. • A brief note (PDF or TXT) outlining the steps you followed and any parameters used, so I can reproduce or update the process later Let me know your approach and estimated t...

I need a clean, well-structured Python OPC-UA client that can talk directly to an SLM 280 metal 3D printer and give me full, real-time control over its atmosphere management: O₂ concentration, chamber pressure, and gas flow. The end goal is to adjust those three parameters remotely and watch them update live, as if I were standing in front of the machine. Scope – Establish a reliable OPC-UA connection to the printer’s server nodes. – Expose read/write methods so I can both query and set O₂, pressure, and flow values without latency that would compromise print quality. – Wrap the interaction in a clear API layer (class or module) so future scripts can call it with one or two lines. – Handle connection drops gracefully and log every transaction for trac...

Hi, I can build this as a compact, reliable web application focused specifically on the business workflow you want to automate, rather than overengineering it into a large platform. My preferred stack would be Python with FastAPI/Django, PostgreSQL where needed, and a lightweight browser-based frontend, with Git-based source delivery and clear deployment documentation. I have built and deployed multiple backend/API projects involving automation, background processing, databases, authentication, testing, and deployment. In particular, my AI Agent API handles automated workflows using Python, APIs, PostgreSQL, Redis, and Celery, while my SaaS and marketplace APIs demonstrate experience building maintainable web systems. I can provide: - Complete source code in Git - Working web applicati...

I need an end-to-end algorithm that trades a single share-market instrument entirely on technical chart analysis. The core logic must follow a technical trading approach, relying on candlestick patterns, moving averages, RSI, and manually-defined trend lines to decide entries, exits, and position sizing. Scope The build starts from raw market data ingestion, moves through signal generation, and finishes with live order execution and performance reporting. All elements—data cleaning, feature engineering, back-testing, walk-forward validation, risk controls, and real-time monitoring—should sit inside one coherent codebase so I can flip from historical tests to live trading with minimal re-configuration. Implementation Notes • Python is my preferred language; common...

Overview: We require a production-grade automation service that monitors an incoming Gmail inbox, reliably extracts structured work-order data using an LLM, and creates fully populated Jobber Requests via Jobber's GraphQL API. Key Functional Requirements: 1. Ingestion: - Real-time email capture using Gmail API via Google Cloud Pub/Sub webhooks (no inefficient polling). - Robust handling of forwarded/nested email threads to extract the original requester's details, not the forwarder. 2. AI Extraction & Validation: - LLM pipeline (OpenAI/Anthropic) using strict JSON schemas (Structured Outputs / Tool Calling). - Extracted fields: Client Name, Phone, Email, Property Address, Job Title, Work Overview, and Job Notes. 3. Media & Snapshot Engine: - Generate a c...

Automation Developer Needed — Gmail to Jobber AI Workflow Egyptian Applicants Only | Remote | Contract | Potential for Long-Term Work We are looking for an experienced Automation/Integration Developer to build a reliable, production-ready system that automatically converts incoming work-order emails from Gmail into fully populated Jobber Requests, reducing manual data entry and supporting estimate turnaround within 24 hours. Scope of Work The automation should: - Monitor a shared Gmail inbox 24/7 for new work orders. - Identify the actual client and request, including forwarded emails. - Use AI/LLMs to extract Title, Client, Work Overview, and Notes. - Generate a PDF/image snapshot of the original email. - Transfer relevant photos and PDF attachments. - Find the correct Jobber c...

We are an engineering firm looking to build a custom AI-powered CAD automation tool. The goal is to automate the drafting and compliance checking of CCTV floor plans according to strict government Security Systems Department (SSD) criteria. Instead of manual drafting, we need a tool that can ingest a 2D DWG/DXF or Revit floor plan, use spatial AI to automatically place security cameras for 100% coverage, calculate 3D field-of-view (FOV) while detecting wall blockages, and output a fully compliant, dimensioned CAD file with a generated Bill of Quantities (BOQ). Core Deliverables Data Extraction: Programmatically parse DWG/DXF/RVT files to identify walls, doors, and room types. AI Spatial Routing & Camera Placement: Build the logic/algorithm to automatically place cameras at optimal lo...

I have a small web-based application that needs its security posture checked right away. The goal is to build an automated suite that performs penetration-style tests each time the app is deployed, flagging anything that could be exploited before it reaches production. Scope – The work is limited to security testing; I do not need functional or performance checks at this stage. – Within security, the emphasis is on penetration testing methods: automated discovery of common weaknesses (SQLi, XSS, auth bypass, misconfigurations) and clear proof-of-concept steps. Tech expectations Python with Selenium, Playwright, or a comparable headless browser tool is fine, and I’m open to OWASP ZAP or similar APIs if that speeds things up. Please wire the tests so they can be tri...

I need a full-stack website built to deliver an online customer-support service, and at its core will be an AI agent able to handle real interactions. The site itself can be simple in look and feel, but it must be reliable, secure and ready to scale. Core agent capabilities • Data analysis on incoming conversations and stored records • Automatic report generation (daily, weekly, on-demand) • Real-time answers to customer questions, including FAQ-style queries as well as free-form requests Technical notes The stack is flexible—React, Vue or a lightweight alternative on the front end, with Node.js, Python (FastAPI or Django), or another robust back-end framework are all fine as long as speed and maintainability are kept in mind. For the AI layer, you’re...

I need a Telegram bot that can lighten my workload inside our public channel. The core of the project is two-fold: • Automated responses triggered by KEYWORDS – When a user types a defined keyword or phrase, the bot should instantly reply with the correct information. I will supply the trigger/response pairs; you just have to wire them up so I can edit or add new pairs later without touching code. • Solid user management focused on ROLES & PERMISSIONS – Certain members need elevated rights (for example, moderators who can delete messages or mute users) while everyday members stay limited to regular posting. A simple command-based or web dashboard solution is fine as long as it’s secure and easy to expand. Please build with the official Telegram Bot API in...

I have a collection of PDFs that contain mixed alphanumeric fields laid out in standard form-style boxes (not tables or free-flowing text). I need every field from each PDF moved into an organised Excel workbook, split logically across multiple sheets so the information remains easy to filter and analyse. Your task is straightforward: • Parse every text and number exactly as it appears in the forms. • Preserve field names and original order. • Place related groups of fields on their own worksheet so the file is immediately usable for reporting. Accuracy is critical—no missing characters, no transposed numbers. You are free to automate with Python (camelot, tabula-py, pdfplumber, pandas) or any equivalent tool; all I care about is a clean, verified workbook I can ...

I need all of my plain-text content moved from its current web location to a new destination right away. There are no images or other file types involved—just straightforward text that must arrive intact, correctly formatted, and searchable on the target site. Please tell me exactly how you would tackle the move, any tools or scripts you prefer (for example, Python, PHP, cURL, or an API-driven approach), and how long each step will take. A concise but detailed project proposal is essential so I can see your plan before we start. Speed is critical; I’m ready to award as soon as I’m confident the migration can be finished ASAP with zero data loss and minimal downtime.

Title: CWatM + MODFLOW 6 Hydrologist for Surface Water–Groundwater Modeling Job Description: I am looking for a hydrologist / groundwater modeler with experience in CWatM, MODFLOW 6, FloPy/Python, or coupled surface water–groundwater modeling. The study area is the North China Plain, with a simulation period of 2000–2024. Main work includes: - Surface-water modeling using CWatM - Groundwater modeling using MODFLOW - Surface water–groundwater coupling and grid alignment - Representation of the main aquifer groups of the North China Plain - Water withdrawal and water-use representation - Representation of major water-transfer systems, reservoirs, diversion points, pumping stations, and receiving areas/users - A Python-based water allocation / scheduling component...

I need a complete solution that pinpoints abnormal behaviour across my wireless sensor network. You will have direct access to three rich data streams—raw sensor readings, detailed network-traffic captures, and accompanying environmental context—so the approach can fuse information rather than relying on a single source. Your job is to design, implement, and validate an anomaly-detection model that flags faulty nodes, suspicious traffic, or out-of-range measurements in near-real time. Feel free to select the technique that best fits the data volume and complexity; I am open to statistical, classic machine-learning, or deep-learning pipelines as long as the final system is transparent and reproducible. Python (NumPy, Pandas, Scikit-Learn, TensorFlow/PyTorch) is preferred for ...

I built a Gomoku web-app with Base44 and now want to enrich it with rapfi analysis similar to what offers for chess. Scope of the new module • Move-by-move analysis that updates as each stone is placed. • Winning probability calculations displayed alongside the board. • Suggestions for next best move that players can click to preview. Display style The analysis must appear through interactive elements rather than static text or charts. Think tooltips, side panels, or overlays that let users explore variations without leaving the game view. Coverage The feature has to work in both live games and past games saved in the user’s archive, so the same component should listen to real-time moves and also replay stored move lists. Technical notes – The ap...

I have a raw customer dataset and I need a predictive model that can automatically segment these customers into actionable groups. The job begins with cleaning and preparing the data, moves on to feature engineering, and culminates in training and validating a segmentation model in Python—ideally using pandas, scikit-learn (or similar), and clear visual output via matplotlib or seaborn. What matters most is accuracy and interpretability. I want to understand which features drive each segment, so well-commented code, concise documentation, and an executive-level summary of insights are essential. Final deliverables should include: • A reproducible Python script or notebook • The trained model (saved or easily retrainable) • A brief report highlighting key segments...

I am ready to commission a complete Python / Flask web application focused on user management. The core features I need are secure registration, login and logout flows, plus role-based access that differentiates Admin and Editor users. All authentication data should be stored in a MySQL database and exposed through clean, RESTful endpoints so the front-end and any future services can communicate easily. On the client side the interface must look sharp and load quickly on both desktop and mobile. Please build the pages with standards-compliant HTML5, modern CSS (Flexbox / Grid where helpful) and unobtrusive JavaScript to keep interactions smooth. I expect a clear separation of concerns: Jinja templates or a lightweight JS framework for rendering, static assets organised logically, and reus...

I need a complete regression-test suite written in Python with Playwright that runs cleanly inside our existing MCP environment. The automated flow should cover every user-facing feature we currently regression-check by hand, exercising the paths we use most often in production. Scope • Build well-structured Playwright page-object files and PyTest-style tests for the full application workflow. • Make sure the suite runs headless on Chrome (vital; no other browsers needed right now). • Wire the tests into our MCP pipeline so they can be triggered on each merge; a simple command or shell script that MCP can call is fine. • Produce concise HTML or JUnit-style reports so failures are obvious at a glance. Acceptance criteria 1. All existing manual regression step...

Telegram Scraping & Community Growth Specialist I am looking for a Telegram scraping / data mining specialist to help me build and rapidly grow my own Portuguese sports betting Telegram community. My goal is to become the owner and main tipster of a 1,000+ real and active Portuguese member community focused on sports betting tips, predictions and analysis. There are already many Telegram channels, groups and online communities where my target audience is active. I want to find and analyse these audiences at scale, using scraping, automation and other technical methods, and then identify the best legitimate ways to attract those users to my own community. I need someone who can: Discover Portuguese sports betting Telegram channels/groups and related communities. Scrape and organise p...

I am in need of a competent developer who can automate a refresh and realtime lotto results from a website and provide predictions based on a criteria that I will specify. Key objectives of the project: * The results should be downloaded in real time after each result (every 3 minutes) * Results should be in excel spreadsheet * After each refresh - automatic analysis of the results in Excel should be undertaken and provide a list of numbers that have yet to been drawn based on a set criteria * I should get a telegram notification for the numbers that have not been drawn for the last x draws I do require this to be done in the next 3-5 days so please only bid if you have capacity.

My aim is to develop a Machine Learning algorithm that can predict the top 4 finishers in horse, harness, and greyhound racing. Unfortunately, I do not have any historical data available for training the algorithm, so I will need a freelancer who has the expertise to build this from scratch. Ideal Skills and Experience: - Extensive knowledge and experience in Machine Learning. - Familiarity with racing dynamics, particularly horse, harness, and greyhound racing. - Ability to create synthetic data for algorithm training. - Prior experience in developing predictive algorithms. - Strong statistical analysis skills.

AI-Powered Telegram Bot & Workflow Automation AI-Powered Telegram Bot & Workflow Automation is an intelligent automation solution designed to streamline communication, user interactions, and business workflows through Telegram. The system uses AI-powered conversations, automated responses, user management, notifications, and smart workflow automation to create an efficient and scalable Telegram experience. It can be customized for customer support, communities, lead generation, business automation, and AI agent-based tasks. skills:-python,ai autmations,bots

40$-200$ I’m a travel agency owner based in Portugal, currently working with clients in Angola who need assistance with Portugal national visa appointments through VFS. Our existing operation has already handled multiple successful bookings, and with demand increasing, I’m now looking for a reliable partner who has genuine experience with appointment availability and can support a long-term collaboration. What I’m looking for: Real-time monitoring of newly released VFS Portugal appointment slots. Proven experience in securing appointments for Portugal national visa applications in Angola. Payment after the appointment is successfully confirmed and visible on the official VFS portal. Consistent communication, transparency, and reliability. A serious long-term partnershi...

JOB: Computational Biologist / ML Engineer - Brain-Specific Neoantigen Prediction Tool PROJECT OVERVIEW: I am building a brain-specific neoantigen prediction tool for mRNA/LNP/PNA therapeutics. The goal is to predict which mutated peptides (neoantigens) are most likely to be presented by HLA in brain metastasis and trigger an immune response. This is a 7-stage pipeline with a defined step list. WHAT YOU WILL BUILD: Stage 1 - Data Sourcing - Search and download brain metastasis MS immunopeptidomics data from CPTAC, SysteMHC, GEO, PRIDE - Download TCGA primary tumour WES/RNA-seq (20 samples) - Download BrainMetShare brain metastasis WES/RNA-seq (20 samples) - Download GTEx normal brain expression, AFND HLA frequencies, IEDB self-antigens - Record sample metadata (source, cancer type, ance...

I have a dedicated inbox that receives two PDFs for every job: a typed work order and a handwritten invoice, both already saved as PDFs. I need a repeatable solution that: • Downloads each new pair as the emails arrive • Matches the work order with its corresponding handwritten invoice • Extracts three data groups—Client details, Service details and Payment information—from the pair (OCR will be required on the handwritten file) • Places those fields into a clean Excel sheet laid out for direct import into QuickBooks A simple dashboard or script-based approach in Python, Power Automate, VBA, Zapier, or a similarly reliable toolset is fine as long as it runs unattended and can be triggered by new mail. Include error logging and a way for me to review ...

I need a small service that does two things seamlessly. First, once a month it should crawl Amazon and pull only those products whose “Country of Origin” field shows India. From each matching listing I’m interested in the product name, its full description, current rating score and review count, plus the Country-of-Origin flag itself. Everything you gather should be written into a MySQL table so I can query it later. Second, I want a REST-style API exposed on my Hostinger account that reads from that database and returns clean, focused search results. If someone asks the endpoint for “fridge”, I must not see fridge magnets or unrelated accessories—just actual refrigerators. The API has to run behind a localhost restriction (i.e. accept calls only from )...

I have a plain-text file that needs to be reorganised into a clean, well-structured Excel workbook. All content from the text source must be transferred accurately, with each logical field separated into its own column so the sheet is immediately usable for sorting, filtering, and basic analysis functions. Please walk me through your proposed approach in detail—let me know how you will parse the text, handle any irregular line breaks or delimiters, and guarantee that no data are lost or misaligned. If you intend to automate the task with Excel formulas, VBA, Python, or another tool, feel free to explain; clarity here will help me choose quickly. Deliverable is a finished .xlsx file that mirrors the full content of the original text file in tabular form, ready for me to review.