Python Jobs

We’re looking for an experienced developer or small team to build an AI-powered Financial & Regulatory Control System for a multi-entity business structure in Thailand. The system will act as a centralized financial control layer that monitors transactions, enforces compliance rules, and detects financial and governance risks across companies. This is a production-grade system (not a chatbot) combining rule-based logic with AI for interpretation and reporting. Core Requirements * Ingest financial data (CSV/API from banks or accounting systems) * Classify transactions (income, expenses, loans, dividends, etc.) * Enforce VAT/WHT and basic compliance rules * Detect risks and rule violations with explanations * Manage approval workflows and audit logs * Use AI (Claude/OpenAI) for...

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GIVE YOUR BEST PRICE THE ONE I WENT WITH IS NOT REAL (10-11) Project: **A Flask + MySQL web system with Machine learning module for preliminary classification and statistical analysis of suspicious death cases in Albania, with expert review and correction.** Use only: * Python Flask * MySQL * HTML/CSS/Bootstrap 5 * * SQLAlchemy * Flask-Login * Flask-WTF or equivalent * Werkzeug security * scikit-learn * pandas, numpy * joblib Important requirements: * Everything must be built **from scratch** * No public/premade dataset * No pretrained/premade model I need an **original synthetic dataset** created from scratch only for this project. It will be temporary and later replaceable with real data. Dataset requirements: * generated with custom Python code * realistic but simple forensic-s...

Our team is expanding and I need a senior-level engineer to accelerate development on a large-scale web application already in production. You’ll work across the stack every day, writing and reviewing code in JavaScript, Python and Java, with most front-end modules in TypeScript and everything deployed on AWS. You’ll be expected to • add new features and harden existing ones, • improve performance and reliability, • participate in code reviews and architecture discussions, • keep tests, CI/CD pipelines and documentation up to date. Deliverables for each sprint are simple and non-negotiable: • clean, well-tested code merged into the main branch, • concise docs for any new modules or APIs, • a short hand-over walkthrough once the sprint goal i...

I need you to build this project as a full functional web-based diploma prototype, with the machine learning part designed to be more accurate, more reliable, and more realistic in practice. The project is: **Development of a web system with MySQL and integrated machine learning for the preliminary classification, prioritization, and statistical analysis of suspicious death cases in Albania, with mandatory expert verification and correction.** Use this stack only: * Backend: Python Flask * Database: MySQL * Frontend: HTML, CSS, Bootstrap 5 * Charts: * ORM: SQLAlchemy * Auth: Flask-Login * Validation: Flask-WTF or equivalent * Password hashing: Werkzeug security * Machine Learning: scikit-learn * Model saving: joblib * Data processing: pandas, numpy Very important requirements: 1. **...

We are a liquor retail business based in Goa, looking to implement ERPNext with POS (Sunmi T2s device). We are hiring a hands-on freelancer with strong functional + technical expertise to work closely with us (remote + occasional on-site) and execute a complete ERPNext implementation. Scope of Work: • Understand current billing, inventory, and taxation workflows (including Goa liquor VAT/excise) • Setup ERPNext (Company, COA, Items, Warehouse, POS) • Configure GST + VAT/excise correctly for liquor sales • Setup POS (Sunmi device + ERPNext POS / TailPOS if required) • Import sample/test data • End-to-end testing (billing, returns, stock, reports) • Staff training for daily operations • Go-live support + stabilization Approach: Keep system simple at...

I need you to build this project as a full functional web-based diploma prototype, with the machine learning part designed to be more accurate, more reliable, and more realistic in practice. The project is: **Development of a web system with MySQL and integrated machine learning for the preliminary classification, prioritization, and statistical analysis of suspicious death cases in Albania, with mandatory expert verification and correction.** Use this stack only: * Backend: Python Flask * Database: MySQL * Frontend: HTML, CSS, Bootstrap 5 * Charts: * ORM: SQLAlchemy * Auth: Flask-Login * Validation: Flask-WTF or equivalent * Password hashing: Werkzeug security * Machine Learning: scikit-learn * Model saving: joblib * Data processing: pandas, numpy Very important requirements: 1. **...

I’m building a new digital-dentistry platform that runs on an Oculus Quest headset and I need a developer who can take it from concept to a working clinical tool written in Python. The application must combine three core capabilities: • ingest and visualise high-resolution 3D dental scans in real time, • let dental assistants walk through fully interactive treatment simulations inside the mixed-reality space, and • keep patient data organised, searchable and secure in accordance with standard privacy regulations. Everything should feel natural on-headset, so thoughtful UX decisions and solid performance tuning for Quest hardware are crucial. If you have a track record of shipping VR/MR apps and you’re comfortable driving the entire Python pipeline&mdash...

I have a working-but-fragile Chrome extension that crawls pages and “dorks” (niche search queries) looking for HTTP API tokens that match a specific regex. The job is twofold: 1. Repair and streamline the current codebase so the scanner reliably captures and locally stores every hit. Right now it sporadically misses matches and sometimes stops writing to storage. 2. Enrich the detection logic with fresh, private dorks and widen the sweep to cover the full set of indicators I care about: Keywords, Phrases, API endpoints, HTTP API strings and any related variations you can dream up. The flow I picture: • Content script injects, scans DOM + network responses in real time. • Regex engine identifies tokens, deduplicates them and saves to local storage / optional we...

I have a dataset containing demographic details, job performance records and results from employee-engagement surveys. Your task is to turn this raw information into a reliable attrition-prediction pipeline. Work starts with careful cleaning and preprocessing: handle missing values, encode categorical variables, standardise or normalise where needed and document every step so the workflow is fully reproducible. A brief exploratory analysis should follow to highlight key attrition drivers and verify data quality before modelling. For the classifier, I’d like you to focus on K-Nearest Neighbours. If you find that another algorithm beats KNN convincingly, feel free to present the comparison—but please include KNN in the final report. Train, tune and validate the model, then eval...

I have a single CSV file that contains a mix of numerical columns and categorical labels. Before I can move on to analysis, the data needs a solid clean-up: remove or impute missing values, fix obvious data-entry anomalies, standardise text categories, and ensure each field is in the correct type. Once the dataset is tidy, I want to explore it visually. I am especially interested in bar charts, line graphs and scatter plots that help surface the main trends and relationships hidden in the numbers and categories. Feel free to suggest any additional plots that would add real insight; however, the three mentioned above are the minimum I need delivered. Python with pandas, NumPy and either Matplotlib or Seaborn is perfectly fine, but I am open to R or another proven toolset if you prefer...

I’m expanding the Centre for Eastern Studies’ coverage of South Asia and need a part-time, remote researcher who can dig deep into the economic trends that define the region’s external relations. Your main mission is to transform raw numbers into clear, policy-relevant insight that will feed our reports and public commentary. What the work looks like You will track macro indicators, FDI flows, trade pacts and sector-specific data across India, Pakistan, Bangladesh, Sri Lanka, Nepal and beyond. Using tools such as Python, R, Stata or advanced Excel, you’ll clean and analyse datasets, visualise results, and distil the story behind the figures. I’ll involve you in joint data analysis projects with senior analysts, invite you to our online seminars, and ask you...

I’m expanding the Centre for Eastern Studies’ coverage of South Asia and need a part-time, remote researcher who can dig deep into the economic trends that define the region’s external relations. Your main mission is to transform raw numbers into clear, policy-relevant insight that will feed our reports and public commentary. What the work looks like You will track macro indicators, FDI flows, trade pacts and sector-specific data across India, Pakistan, Bangladesh, Sri Lanka, Nepal and beyond. Using tools such as Python, R, Stata or advanced Excel, you’ll clean and analyse datasets, visualise results, and distil the story behind the figures. I’ll involve you in joint data analysis projects with senior analysts, invite you to our online seminars, and ask you...

I’m expanding the Centre for Eastern Studies’ coverage of South Asia and need a part-time, remote researcher who can dig deep into the economic trends that define the region’s external relations. Your main mission is to transform raw numbers into clear, policy-relevant insight that will feed our reports and public commentary. What the work looks like You will track macro indicators, FDI flows, trade pacts and sector-specific data across India, Pakistan, Bangladesh, Sri Lanka, Nepal and beyond. Using tools such as Python, R, Stata or advanced Excel, you’ll clean and analyse datasets, visualise results, and distil the story behind the figures. I’ll involve you in joint data analysis projects with senior analysts, invite you to our online seminars, and ask you...

المملكة العربية السعودية - جدة - متحدث باللغة العربية - أبحث عن استشاري إدارة مشاريع Odoo ذي خبرة لمساعدة شركة Bunnies في تحليل وتطوير وتخصيص Odoo، وذلك من خلال أتمتة ودمج Odoo مع الذكاء الاصطناعي. مجالات التركيز الرئيسية: - الوحدات: المبيعات، المخزون، المحاسبة، إدارة علاقات العملاء، التصنيع، مراقبة الجودة، إدارة المهام، المستندات - التكاملات: واتساب والبريد الإلكتروني، الدردشة المباشرة، الذكاء الاصطناعي والأتمتة، المكالمات الهاتفية المهارات المطلوبة: - خبرة في تحليل وتطوير الأعمال - خبرة في تخصيص وأتمتة Odoo - خبرة واسعة في دمج الذكاء الاصطناعي - إتقان إدارة وحدات Odoo المتعددة - خبرة في دمج واتساب والبريد الإلكتروني والدردشة المباشرة سيساهم المرشح الناجح في تبسيط عملياتنا وتعزيز إنتاجيتنا من خلال إدارة ودمج Odoo بكفاءة. مقر العمل: جدة إي محمود جوال: 0567707715 المهارات المطلوب...

SAUDI ARABIA - JEDDAH - ARABIC SPEAKING -I'm seeking an experienced Odoo Project Manager Consultant to help Bunnies Analysis , Developing & Customization with automate and integrate Odoo with AI. Key Areas of Focus: - Modules: Sales, Inventory, Accounting, CRM, Manufacturing, Quality Control, Task Management, Documents - Integrations: WhatsApp & Mail, Live Chat, AI & Automation, Mobile Calls Ideal Skills: - Experience in Business Analysis & Developing - Expertise in Odoo customization and automation - Strong background in AI integration - Proficient in managing multiple Odoo modules - Experience with WhatsApp, Mail, and live chat integrations A successful candidate will streamline our operations and enhance our productivity through effective Odoo management and in...

I need a robust web-scraping solution that automatically collects product information from several e-commerce websites. The focus is on two key data points: • Product name and full description • Customer reviews and ratings Price and availability are not required this time, so the crawler can ignore any endpoints related to stock or cost. Please build the script so I can run it on demand and easily point it at new store URLs in the future. Python with BeautifulSoup, Scrapy, or a similar framework suits me fine, as long as the code is clean, well-commented, and leverages polite scraping practices (respectful delays, user-agent rotation, handling captchas when possible). Deliverables: 1. Working scraper code with clear setup instructions 2. Sample CSV or JSON export c...

I need a seamless link between Xero’s API and an Excel workbook that automatically pulls the standard financial reports—Profit & Loss, Balance Sheet, Cash Flow and any other off-the-shelf statements—directly into Excel every day. No custom fields are required; the default columns Xero provides are perfect. The workflow should: • Authenticate securely with Xero’s API. • Drop each report into its own tab in a refreshable .xlsx file. • Allow a quick manual refresh in Excel (Power Query, VBA, Office Scripts, Python, or comparable approach is fine) in case I want an on-demand update. • Be simple to maintain if Xero tokens expire or if I need to adjust the date range. Deliverables: 1. Fully working connection script or add-in. 2. An E...

I’m creating a broker platform focused on trading stocks and need a developer who can take the idea from concept to a working product. The core of the build must include: • Real-time market data streaming and display • Robust user portfolio management for performance tracking The system will serve both individual traders and brokerage firms, so role-based access and scalable architecture are essential. Security, fast order execution, and a clean, responsive interface are non-negotiable. I’m open to your recommended tech stack—whether you lean toward Node.js, Python, or another modern framework—as long as latency stays low and the solution can grow with future features such as automated trading or additional asset classes. Please outline your propos...

I need custom code that lets Odoo talk fluently with WhatsApp so that two key interactions run on autopilot: • An order-confirmation message goes out the moment an order hits “Sale Order”. • A smart auto-reply is triggered any time a customer sends a WhatsApp message to our business number. Both flows must be built on the official WhatsApp Business API (already connected to odoo) I’m undecided on whether each sales channel, product type, or customer segment should get its own template, so I’ll rely on your guidance to design the right context logic and template structure. Whatever the final approach, the solution has to let me attach PDFs (invoices, quotations, tickets, etc.) or other small files along with the text when needed. Deliverables: 1. In...

Following up on our previous script optimization. I now need to save the processed JSON data into a local database (SQLite or PostgreSQL) instead of just a flat file. Need to ensure the database operations are also asynchronous to match the current scraper speed. Looking forward to continue the work.

I’m assembling a practical textbook that teaches drone technologies through hands-on programming with Python. The book should walk readers from fundamental concepts straight into real-time applications, letting them write, test, and fly code as they learn. Core coverage has to include basic Python syntax for newcomers, real-time data processing techniques, and solid drone control algorithms that work on popular flight controllers (PX4, ArduPilot, DJI SDKs, etc.). Example projects—think live telemetry dashboards, autonomous waypoint missions, and computer-vision-assisted flight—should be coded step-by-step so readers can replicate results on their own hardware. Because it’s a learning resource, clear explanations, commented code, troubleshooting tips, and small rev...

I need a rock-solid, real-time player tracking module for football matches that guarantees the ID assigned to each athlete at kick-off never changes until the final whistle. Right now, our OpenCV–TensorFlow–YOLO pipeline sometimes swaps or loses IDs when athletes overlap, leave the frame briefly, or the camera angle shifts, and that ruins every speed, distance, position, and heat-map metric we generate. Key requirements • Sport: football. • Camera setup: five or more synchronized feeds. • Existing stack: OpenCV, TensorFlow, YOLO – your solution must plug into this environment. What I expect 1. A multi-object tracker with integrated re-identification that preserves the same unique ID through occlusion, crossings, short disappearances, or camera changes...

We’re seeking an experienced developer to create a scraper that continuously monitors FB Marketplace for vehicle listings that match a tight set of criteria and then sends Discord notifications the moment a match appears. It will pull make and model, year, mileage, price, fuel type, 4x4 (if possible), etc. AI can not be used to do the bulk of coding and testing/deployment. This failed in the past. Speed is critical: the shorter the gap between the vehicle being listed the better. Ideally would like to be within 5-10 mins or less. A lag of more than a couple of minutes starts costing opportunities, so lean code, smart scheduling and efficient parsing are a must. Ideally we will be using 7-8 hubs at 500 mile searches across the US to get full coverage. Accounts will likely be an as...

Title: Geospatial Backend Developer Needed for Google Earth Engine Integration Project Description: We have built an interactive web application prototype that serves as a powerful dashboard for geospatial analysis. The frontend is built with and React, and it currently simulates the display of various satellite imagery layers (e.g., NDVI, Landsat, Sentinel-2) using mock data and static tile URLs. The goal of this project is to replace these mock integrations with a live, dynamic backend service. We need an experienced developer to build the core data pipeline that will connect our application to real satellite imagery APIs, with the initial focus on Google Earth Engine, and later Planet and Blacksky imagery. This is the first and most critical phase of moving our application from a proto...

I have a set of existing spreadsheets filled with plain text records that now need to live in clean, well-structured CSV files. Your task is to pull every row from those sheets, check that the headings stay consistent, and export the results as UTF-8 CSV without introducing any hidden characters or broken line breaks. The spreadsheets are already organised, so no deep data cleansing is required—just tidy up obvious spacing issues, preserve punctuation, and make sure every cell ends up in the correct column position in the final CSV. I will share the sheets in either Google Sheets or Excel; work in whichever environment you prefer as long as the finished deliverable is a set of ready-to-import CSV files. Deliverables • One CSV per source sheet, correctly named and enc...

Hi, I need to send a form message to all listings in all states - Here's directory - Data will be the same for all forms

Shoonya’s recent login overhaul has broken the authentication flow in my existing Python-based trading setup. What I need, urgently, is a compact, well-commented Python module that: • performs the new multi-step login (OTP / token refresh, as required) and keeps the session alive • exposes a simple function such as get_quote(symbol) that streams or polls real-time quotes with minimal latency Everything beyond that—order placement, strategy logic, position management—I will handle myself. The focus here is strictly on reliable connection and real-time quote retrieval. Please build on standard Python tools (requests, websockets, asyncio, or any official Shoonya helper libs if available). Include a short README so I can drop in my own API keys, run a quick t...

I’m sitting on a sizeable pool of customer data and need clear, actionable insight into why clients stay—or slip away—so I can sharpen our overall experience. The single metric I care about right now is retention rate; every query, chart, and model should trace back to that outcome. Here’s how I picture the engagement: • Clean and consolidate the raw customer datasets I’ll supply (CSV and database exports). • Run the exploratory analysis and segmentation needed to surface churn-related patterns. • Build predictive or descriptive models—whichever proves most reliable—to highlight the moments of greatest attrition risk. • Present findings in a concise slide deck plus an interactive dashboard (Python, SQL, Tableau or Power ...

I have a set of raw transactional records sitting in several CSV files. I need them imported into Power BI, cleaned, and reshaped into a star-style model. The core relationships I must see are Customer → Orders and Region → Revenue; anything else you add for best practice is welcome provided it remains documented. Once the model is in place, create DAX measures for: • Total revenue • Number of orders • Distinct customers • Return rate With those measures, build visuals that show: • Revenue distribution by region • Seasonal revenue patterns (month and quarter) • Any revenue-concentration risk—e.g., regions or customers that contribute a disproportionate share • Key performance trends over time I will consider the job c...

I’m expanding my online course-counselling platform with a dedicated AI engine that pinpoints the right colleges for each student. The tool’s single, non-negotiable goal is to return a list of institutions that actually offer the course a learner wants. When a user specifies a field of study the system must instantly sift through my database and surface matching undergraduate, postgraduate, and doctoral programmes. Because course availability is the guiding criterion, the model should rank or filter results based on how comprehensively each college covers that subject area. I’d like the code structured so I can add extra filters later—location and tuition, for example—without rewriting the core logic. A conversational interface (chat or natural-language sear...

I’m building a production-grade backend that orchestrates multi-step LLM workflows and serves them through a FastAPI layer. The stack is Python first, so I need someone who is genuinely comfortable with advanced language features, clean architecture, and test-driven habits. Core scope • Design and implement LangGraph​/​LangChain pipelines that call both Claude and OpenAI models. • Shape a robust PostgreSQL schema from scratch and write the migration scripts to match. • Expose all functionality via FastAPI endpoints with proper async handling, input validation, and error management. • Handle PDF generation with ReportLab (or an equivalent you like) for final user-facing reports. Claude-specific responsibilities Prompt engineering Understanding tok...

I need a freelancer who can convert 144 DTA files into Excel files, with each DTA file being converted into a single sheet in an Excel file. Key Project Details: - Each DTA file should be converted into a single sheet in an Excel file. - There is no need for any data cleaning or processing during the conversion. The task is strictly to convert the files. - The converted Excel files should use the original file names. Ideal Skills: - Proficiency in data conversion and Excel. - Familiarity with DTA file format is a plus. - Attention to detail to ensure accurate file naming and conversion.

I have already written most of a custom ERP/CRM in Python, but a handful of features and polish tasks are still unfinished and blocking release. The core database schema, main views, and API endpoints are working; what I now need is a developer who can read my existing codebase quickly, identify the gaps, and deliver fully working, production-ready modules. The outstanding items include completing some accounting, inventory, and customer-facing workflows, closing any authentication loopholes, squashing bugs that surface during integration tests, and making sure the system produces clean, exportable reports. You will have access to my current Git repository, schema documentation, and a short list of known issues to start with—beyond that, I’m happy to walk you through the busin...

Government portals that publish public records but do not offer bulk-download options. I need an automated solution that can search by number on this page and download each file in its native PDF form. Here is what I am after: • A repeatable scraper—Python capable of searching in specific domain, following pagination, and collecting accessible PDF link. • The script should save the PDFs locally in a clear folder structure (site / year / category). • A simple log or CSV report listing the URL, document title, and download status for every file processed. Acceptance criteria 1. All public records published in the specified date span are present as intact PDFs. 2. The log matches the count of files actually downloaded. Please make sure the code is well c...

Overview We are looking for an expert who has built production-grade AI lead generation systems for B2B / industrial companies in the US. This is for an industrial equipment supplier that sells into project-driven, recurring-use markets. We are not looking for generic list building. We need someone who understands how to find companies that are actively working on new builds, equipment projects, or engineering cycles, then identify the right decision-makers and support personalized outreach. Our target sources and signals include industrial directories, LinkedIn/Apollo, job postings, and project databases. What we need We need help building or improving a system that can: Find target companies based on buying signals Qualify companies based on what they build, not just their industry ...

Project Title: Large-Scale Course Data Scraping from Udemy, Coursera, and YouTube Project Overview: I am looking for an experienced data scraping specialist who can collect a large dataset of online courses and tutorials from platforms such as Udemy, Coursera, and YouTube. The dataset should include both technical and non-technical tutorials. The objective is to build a structured dataset that can be used for research and analytics purposes. Project Requirements: The freelancer will scrape approximately 200,000 course/tutorial records from the following platforms: - Udemy - Coursera - YouTube The collected dataset should contain the following information for each record: 1. Course / Tutorial Title 2. Course URL / Video URL 3. Platform Name (Udemy / Coursera / YouTube) 4...

I have a set of GelSight images and need an end-to-end workflow that turns them into accurate, high-resolution 3D meshes of everyday objects. The goal is to capture subtle surface variations—scratches, fine textures, and edge curvature—so the final model can be inspected, measured, and exported for downstream use in CAD or visualization tools. You may choose whichever environment you are most comfortable with (Python + OpenCV/PyTorch, MATLAB, or C++). What matters is that the pipeline: • takes raw GelSight data as input (I will supply sample files), • performs all necessary photometric calibration and image alignment, • reconstructs a dense height map, then converts it to a watertight mesh, • outputs OBJ or STL alongside a brief report on reconstruct...

I want to build a small-budget yet rock-solid solution that lets me run AI-assisted Douyin (TikTok China) rebroadcasts and recorded streams while keeping viewers actively engaged. The AI layer should handle two core jobs for me: 1) pushing the video feed out in real time and 2) powering audience interaction features. What matters most on the streaming side is stability—no random drops, stalls, or audio-video desync. If you normally work with FFmpeg, RTMP, SRT or similar protocols and know how to fine-tune bit-rates and buffer settings, that is exactly the expertise I’m after. On the interaction side I need three functions running seamlessly during every broadcast: • real-time comment overlay • audience voting / polls that update instantly • integrated gif...

I need a web-based tool that produces complete travel itineraries for both flights and hotels in one flow. The core requirement is real-time booking integration: when a traveller selects an option, the system should pull live availability and pricing from the chosen suppliers and let them confirm the reservation without leaving the site. You are free to pick the most suitable stack—whether that is React with Node, Django, Laravel, or another framework—but the final product must: • Accept basic trip parameters (origin, destination, dates, number of travellers). • Query reputable flight and hotel APIs, then present ranked options clearly. • Combine the selected items into a single, printable / shareable itinerary page. • Complete the booking throug...

There is a suite of pre-configured Python bots that currently run on cTrader. I now want them fully aligned with my own trading system and expanded in two key areas: • Introduce a robust trend-following strategy that fits the logic and data feeds I already use. • Bolt on solid risk-management controls—hard stop-loss orders, dynamic position sizing, and trailing stops—so every position automatically respects my predefined exposure limits. All code must remain within the cTrader Automate (cAlgo) environment while leveraging Python connectors where necessary. Clean, well-commented modules and a brief “how-to” document for deployment are required once the work is complete. I’m based in Kazan and would strongly prefer a local, English-speaking de...

My Excel workbook already contains a VBA macro that opens a PDF, extracts targetted numeric value from certain columns, aggregates them, and drops the results straight into specific cells. Functionally it works, yet it generates errors when it comes accross different number formats. I need a fast, tidy rewrite (or smart port) that does the same three core steps—read, parse & aggregate, write—within roughly three hours of coding time. You can choose the approach that lets you move fastest: streamline the existing VBA, replace it entirely with a Python routine built around pdfplumber, or create a hybrid where Python performs the heavy lifting and VBA simply updates the sheet. I’m comfortable with any of those paths as long as the final workbook remains a one-click solu...

I need a small Python-based utility that runs reliably on macOS and strips the SyntID watermark Google bakes into both its Text-to-Music and Text-to-Speech outputs. The goal is simple: after processing, the resulting audio should pass Google’s own detection checks while sounding identical to the human ear. Here’s what matters most to me: • macOS compatibility out of the box (Monterey and newer) using standard Python 3 libraries plus any open-source audio packages you feel are essential. • One command (or callable function) that accepts a Google-generated audio file, cleans it, and writes back a high-fidelity file in the same format. • Clear inline comments and a concise README so I can understand the logic, install any dependencies with Homebrew/pip, and r...

I need a small-scale AI model or script that reliably turns an input photo into a cartoon-style portrait with moderate detail. The focus is squarely on portraits, not landscapes or abstract work, and I’m after a playful yet recognisable look—clean lines, balanced shading and colour, no hyper-realistic textures. You’re welcome to fine-tune Stable Diffusion, train a lightweight GAN, or build a custom pipeline in Python using PyTorch or TensorFlow, as long as the result runs locally (GPU) and can be triggered by a simple command-line or minimal web interface. I’ll supply a handful of sample headshots for calibration; please keep facial proportions faithful while still achieving that classic cartoon charm. Deliverables: • Trained model files and any checkpoints ...

I’m building a small-scale tool that can turn any written prompt into a high-quality, anime-style cartoon illustration of a human character. The look should lean unmistakably toward modern anime rather than Western comic or classic Disney, with attention to clean linework, vibrant cel shading, and expressive facial features. Here’s what I need from you: — A reproducible AI workflow (Python script, notebook, or GUI wrapper) that accepts a text prompt and returns a 1024×1024 PNG in the requested anime style. — Either a fine-tuned Stable Diffusion / SDXL checkpoint, LoRA, or an equivalent open-source model ready for local inference, along with clear setup instructions. — Example prompt templates that highlight how to control pose, lighting, background,...

Senior Forward-Deployed Software Engineer Needed to Finish Enterprise Intelligence Platform MVP (Python / FastAPI / Graph / Data Pipelines) ⸻ Project Overview I am building RealScore, a financial intelligence infrastructure platform designed for investigators, regulators, financial institutions, and government entities. The system ingests public records and financial intelligence data, resolves entities, constructs ownership relationships, and produces explainable risk outputs. The repository is already substantially built. The core architecture, services, pipelines, and UI are implemented and functional. The first core feature (entity search → ownership → sanctions exposure → explainable risk scoring) is approximately 70–80% complete. However, it needs a high-l...

I need a compact, well-structured script that ingests a 2D image and returns a high-quality .glb file in one pass, with no noticeable loss of fidelity. Speed is critical; the final tool should feel almost instantaneous when run on a modern desktop. Because I have no fixed preference for specific libraries, feel free to choose whatever stack best balances performance and quality—OpenCV, TensorFlow, or any other framework you’re confident will get the job done quickly and cleanly. What matters most is that the resulting geometry, textures, and materials in the .glb look crisp and faithful to the source image. Deliverables • Source code with clear inline comments • A straightforward README explaining environment setup, usage, and any dependencies • A sample ...

I am looking to hire a freelancer to create an automated trading strategy for the Stocks & Commodities markets using Tradetron. I need someone experienced in the field of algorithmic trading and capable of designing a trading system for execution on the Tradetron platform. Rule is very very simple. Strategy should be connected with other platform who passed details through API It's an Option buying strategy. Instrument will passed through API CE/PE will be passed through API Buy price passed through API Sell price passed through API SL price passed through API Trailing SL to be added in tradetron strategy.

I need a bespoke tool that replicates the core features of Link DM but is tailored exclusively for Instagram. The application must be able to: • Post comments automatically on selected posts • Detect incoming comments and reply instantly or with a short, configurable delay • Send automatic and trigger-based direct messages (for example, after a reply is posted or when a keyword is detected) A clean web-based dashboard (or lightweight desktop GUI) where I can add multiple Instagram accounts, set comment/DM templates, view logs, and toggle each automation on or off will make daily use straightforward. Please build on official Instagram Graph API endpoints wherever possible to keep the account safe; if a private endpoint is absolutely required, add throttling and captcha-...

I want to set up a Telegram bot that can instantly handle routine customer-support questions with a library of predefined answers. The goal is simple: when a user sends a common query in our Telegram chat, the bot recognises the intent and sends back the right response without ever needing to involve a human agent. You’ll need solid experience with the Telegram Bot API, webhook configuration and either Python or Node.js—whichever you prefer, as long as it is clean, well-documented code. I will provide the full list of Q&A pairs; your task is to map each keyword or phrase to its corresponding answer, ensure the matching is reliable, and make it straightforward for me to add or edit entries later. Key deliverables: • Source code with clear comments • A small adm...