Freelance python jobs for world-class Developers

I work in buying and selling TikTok and social media accounts in general, and many accounts are being withdrawn from me because of the passkey feature. I am looking for a tool or bot that will cancel the passkey feature from the accounts that I request from it. Thank you.

Skills: Python, Mobile App Development, iPhone, Android

AI-Powered Audio Processing MVP Developer (Milestone-Based)

🔑 Project Overview:
We are seeking a skilled developer (or small team) to build an AI-powered audio processing web application (MVP). This project will be delivered in two key milestones, with an urgent focus on Milestone 1 for SHOT Show (Jan 21st).

📆 Milestone 1: SHOT Show Demo (Core Features, by Jan 21st)
Focus on building a functional demo with essential core features:
• PredaCore AI™: Pitch Adjustment, Speed Adjustment, and Structural Recut/Rearrangement.
• PredaMix™ (Simplified): Mix 2–3 user-uploaded tracks into a cohesive audio output.
• File Upload/Download: Upload files (MP3/WAV) and Download processed audio (MP3/WAV).
• Simple User Interface: Upload Button, Mix Button, Download Button.
• Preview of Future Features (Grayed Out): PredaMix™ (Unlimited Tracks), PredaPan™ (Stereo Effects), FREQAI™ (Ultrasonic Layering), Text-Based Prompts (Advanced AI Controls), Subscription Integration.
• Deployment: Host on Repl.it or Bolt.New.
Timeline: 2 weeks (Complete by Jan 20th, 2025)
Milestone 1 Budget: $500 USD

🛠️ Milestone 2: Complete MVP Build (Post-SHOT Show)
After the SHOT Show, complete the full MVP with advanced features:
• Text-Based Prompts (AI Controls): NLP-based customization via user commands.
• FREQAI™ (Ultrasonic Layering): AI-driven high-frequency layering.
• PredaPan™ (Stereo Effects): AI-guided dynamic stereo sound movement.
• Subscription Integration: Stripe API for tiered plans.
• Scalable Backend: Support growing traffic and processing needs.
• Admin Dashboard: Analytics, controls, and management tools.
• Refined UI/UX: Enhanced design for better usability.
• Documentation: Complete admin and user documentation.
Timeline: 2–4 weeks after Milestone 1
Milestone 2 Budget: $500 USD

💻 Technical Requirements:
• Frontend: React
• Backend: Python or Node.js
• Database: MongoDB or PostgreSQL
• Deployment: Repl.it or Bolt.New
• Payment Integration: Stripe API

📊 Budget & Timeline:
Total Budget: $1,000 USD (Fixed Price, split evenly across two milestones)
Milestone 1: $500 USD (Core demo for SHOT Show)
Milestone 2: $500 USD (Remaining advanced features)
Ownership: All code and intellectual property (IP) will remain with us.

📝 Deliverables:
• Fully functional SHOT Show Demo (Milestone 1)
• Completed MVP with Advanced Features (Milestone 2)
• Clean, modular code hosted in our private GitHub repository
• Clear user and admin documentation

🤝 What We Expect From You:
• Experience in AI audio processing, backend development, and scalable infrastructure.
• Ability to work efficiently under tight deadlines for Milestone 1.
• Willingness to sign an NDA and IP agreement.
• Clear communication and proactive collaboration.

🎯 Why Collaborate With Us?
This MVP is just the beginning. A successful launch could lead to long-term collaboration and expanded features in future phases. This is an exciting opportunity to be part of something innovative from the ground up.

📥 How to Apply:
• Share relevant portfolio links.
• Briefly outline your approach to Milestone 1 and Milestone 2.
• Confirm your availability and ability to meet the SHOT Show deadline (Jan 20th).

🛡️ Ownership and Intellectual Property Rights:
• This project is considered Work-for-Hire under applicable copyright and IP laws.
• All code, designs, AI logic, and deliverables created as part of this project will be considered the exclusive property of the hiring party (us).
• The developer agrees to waive all moral rights associated with the work produced under this contract.
• The developer will not retain any rights, claim ownership, or use the deliverables for any other purpose without express written consent.
• The developer agrees to sign an NDA (Non-Disclosure Agreement) and any necessary legal documentation to formalize this arrangement.

Skills: Artificial Intelligence, Machine Learning, Python, Deep Learning, TensorFlow, Natural Language Processing, Audio Signal Processing, React, Node.js, Stripe API

My name is Charles, and I am working on a project to design a productivity-focused phone. I have somewhat of a foundational knowledge for computer components. I’m not confident enough in my knowledge to find the specific parts for the device which is why I’m reaching to you. My request is for your expertise in locating suitable components that match these requirements, with links to where I can purchase them. I need these parts to be correct and exact in their functions throughout all the hardware. I have a document containing all the components I need for the phone which I can email you or if this link works: https://docs.google.com/document/d/1wwaFaH3rl68WmPMDgUh42jdPsPAW4KK5PgGyvPGYl3o/edit?tab=t.0#heading=h.jmq076ni7v61
I appreciate your consideration and can be reached at any time with any concerns

Skills: Prototyping, Manufacturing, Hardware Design, C, Hardware Troubleshooting, Firmware Programming, Digital Design, Microcontroller, KiCad, Altium Designer, Microcontroller Design, ESP32, Python, STM32, Arduino

Need Python script using RPC to fetch Liquidity Pools from :

Raydium AMM
Raydium CLMM
Meteora DLMM
Orca DLMM
Lifinity V2
Saros AMM
Lifinity Pool Authority
and any else
for example any of this tokens: 35umbwFFhbWQDVXXwvjmpHKdLPvPTQwwaNzHLLACpump
GekTNfm84QfyP2GdAHZ5AgACBRd69aNmgA5FDhZupump
79HZeHkX9A5WfBg72ankd1ppTXGepoSGpmkxW63wsrHY
CckLtcfEtsYzg8sUrVBBrFKt16iExpvEurc1dhKmmoon

Skills: Python, Node.js

We are a rental car company seeking an experienced freelancer to set up SMS text automation using the RingCentral VoIP platform. The ideal candidate will have a strong background in automated messaging systems and familiarity with RingCentral's features. Your primary role will involve designing and implementing an SMS solution that enhances our customer communication process. If you have a proactive approach and a knack for streamlining communication through technology, we’d love to hear from you!

Skills: Python, API, PHP, Smartphone, Android

We are seeking an AI Automation Specialist to assist with creating efficient workflows and building a VAPI AI automation system specifically tailored for outbound calls. The ideal candidate will have a strong understanding of automation processes and be able to connect tracking mechanisms to ensure optimal performance and reporting. If you have experience in developing automation solutions, we want to hear from you!

Skills: Lead Generation, Sales, Python, Cold Calling, Customer Relationship Management

Job Description:
We are looking for an experienced AI Developer to build and deploy scalable AI-driven content generation systems capable of producing and publishing 1,000 pieces of content per month for each niche. The content will include blog posts, social media assets (captions, images, videos), and other formats, optimized for independent channels like Facebook, Instagram, TikTok, and YouTube Shorts.

This project requires advanced AI expertise and a deep understanding of content marketing strategies to meet the demands of high-volume, niche-specific, and platform-tailored content production.

Key Responsibilities:
High-Volume Content Generation:

Develop AI models capable of creating 1,000+ pieces of content PER month PER niche, ensuring diversity and quality in all outputs.

Automate content creation across text, image, and video formats for specific niches.

Multi-Niche Focus:
Build adaptable systems to generate content across multiple niches, including but not limited to:

Fitness
Nutrition
Sustainable Living
AI & Tech
Mental Health
Travel & Adventure
Gaming
Personal Finance
Business Finance
DIY/Home Improvement
Education & Online Learning

Platform-Specific Optimization:

Customize content for each platform's requirements, such as captions, hashtags, video lengths, and posting schedules for Facebook, Instagram, TikTok, and YouTube Shorts.

Automation of Posting:

Integrate AI models with scheduling tools to automate content posting for each niche.
Ensure all content is published in line with pre-determined schedules and platform algorithms.

Quality Assurance & Optimization:

Implement real-time feedback loops to assess content quality, SEO, and audience engagement.
Refine content to match brand voice, audience preferences, and platform trends.

Scalability & Maintenance:

Design scalable systems to handle additional niches or increased content volume as needed.
Monitor system performance and make improvements to maintain efficiency and reliability.

Required Skills & Qualifications:
AI/ML Expertise:
Proficient in AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
Strong understanding of Natural Language Processing (NLP) and Generative AI (e.g., GPT, DALL-E).
Experience with video and image generation tools.

High-Volume Automation Experience:

Demonstrated experience in building systems capable of managing large-scale automated workflows.

Content Marketing Knowledge:

Understanding of platform-specific content strategies for maximum engagement.
Familiarity with SEO, hashtags, and audience targeting methods.

Technical Skills:
Proficiency in Python, JavaScript, or other programming languages.
Expertise in API integrations with scheduling tools (e.g., Buffer, Hootsuite) and social media platforms.
Project Management:

Strong organizational skills to manage timelines, track performance, and collaborate with stakeholders.

Preferred Qualifications:
Previous experience creating AI-driven solutions for social media or digital marketing.

Experience managing multi-niche content strategies.
Familiarity with CMS platforms (e.g., WordPress) and content automation workflows.

Portfolio showcasing large-scale content automation projects.

Project Scope:

Content Generation: Build systems to generate 1,000 unique pieces of content per month for each niche.
Automation & Posting: Automate posting schedules across multiple platforms, ensuring platform-specific optimization.

Multi-Niche Scalability: Start with 10 niches, with room to expand into additional verticals.

Ongoing Support: Provide maintenance, updates, and performance enhancements post-launch.

Skills: AI Agent Development, Machine Learning, Automation, Search Engine Optimization

Looking for a backend developer to build a Node.js server from scratch that integrates with OpenAI’s Whisper API to handle audio file transcriptions via Zapier Webhooks.

The server should:
• Accept POST requests with a fileUrl parameter (link to an audio file).
• Download the file from publicly accessible URLs (e.g., Dropbox, Google Drive).
• Send it to OpenAI Whisper for transcription.
• Return the transcription result to be used in Zapier.

Key Requirements:
• Deploy the server on a cloud platform like Render, DigitalOcean, or Railway.
• Ensure it’s publicly accessible, handles large files, and avoids timeouts.
• Integrate with Zapier to trigger the transcription process via webhooks.

We’ve made some initial attempts, but we want a clean solution from scratch.

Here's the desired end result:
- An mp3 (about 10MB or less, an hour in length) is uploaded to GDrive or Dropbox folder.
- Zapier is triggered.
- Zapier pulls the file.
- File is sent to Webhook (whatever you set up).
- Webhook returns full transcription, bypassing current limits that are causing timeouts.
Then, already set up by me...
- Transcription is sent to an OpenAI Assistant... etc.

Skills: Node.js, API, Python, API Development

Greetings!

NOTE: GENERIC RESPONSES WILL BE REJECTED

Hope you're sound and safe!

I'm looking for someone to help me build a demo showing app where you have an AI agent that joins a call with you, just like Anthropic Computer Use and walks you through a presentation or even better, an application as a product manager to showcase to you all the features and stuff that could be beneficial to you!

Ideally, we will have somehow a virtual machine that opens up and allows you to do so.

Please share with me how you're planning to get this very quickly! It should be easy for a great developer!

Thanks!

Skills: JavaScript, Python, Microsoft Windows, Microsoft Azure

We are seeking a skilled developer with experience in creating automated trading bots to assist in building a trading bot that seamlessly integrates with our Topstep-funded account. The ideal candidate will have a strong understanding of trading strategies, API integration, and experience in backtesting algorithms. You will be responsible for the entire development process, from ideation to implementation, ensuring optimal performance and reliability. If you have a passion for trading technology and can deliver a robust solution, we would love to hear from you!

Skills: Python, Automation, API, JavaScript, C++

We are seeking a skilled developer to create an automated trading bot that integrates seamlessly with our Topstep-funded trading account. The ideal candidate will have experience in developing trading algorithms and a strong understanding of trading platforms. You will be responsible for designing, coding, and testing the bot to ensure it operates effectively and meets our trading strategy requirements. Knowledge of risk management and strategy implementation is a plus.

Skills: Python, Automation, API, JavaScript, C++

We are seeking a Conversational AI Chatbot Architect to design and develop a healthcare-focused Minimum Viable Product (MVP) proof-of-concept conversational AI and chatbot solution that addresses industry-specific challenges and enhances patient and provider interactions.
Role Overview
As a Conversational AI Chatbot Architect, you will design and implement a healthcare MVP proof-of-concept chatbot leveraging Large Language Models (LLMs). This contract role requires expertise in developing solutions tailored to healthcare needs, including patient engagement, appointment scheduling, and secure information handling, while delivering a compelling demonstration of the technology’s potential.
Key Responsibilities
• Design and develop a healthcare MVP proof-of-concept chatbot solution leveraging LLMs and frameworks like Retrieval-Augmented Generation (RAG).
• Architect end-to-end conversational AI workflows to support healthcare use cases such as appointment scheduling, patient FAQs, and secure communication.
• Write detailed technical specifications and design documentation tailored to healthcare industry needs.
• Ensure compliance with healthcare standards and regulations, such as HIPAA, while optimizing for security, latency, and scalability.
• Develop a robust backend integration with APIs, databases, and authentication systems relevant to healthcare applications.
Qualifications
Required:
• Proven experience designing and deploying conversational AI and chatbot solutions, ideally in healthcare.
• Strong programming skills in Python and experience with SQL databases.
• Expertise in developing APIs and integrating them into chatbot architectures.
• Deep understanding of LLMs, prompt engineering, and RAG techniques.
• Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, or a closely related field (or equivalent experience).
• Ability to design and implement a compelling MVP proof-of-concept site tailored to healthcare use cases.
Preferred:
• Experience with traditional conversational AI platforms (e.g., Dialogflow, Microsoft Bot Framework).
• Understanding of healthcare workflows and patient engagement strategies
Below are the required use cases:
Creating a Minimum Viable Product (MVP) for a conversational AI for a healthcare website involves prioritizing features and use cases that provide maximum value to users while minimizing development effort. Below are the essential use cases:
________________________________________
Patient-Focused Use Cases
1. Appointment Scheduling and Management
o Book, reschedule, or cancel appointments.
o Send reminders for upcoming appointments.
2. Symptom Checker
o Gather basic symptom information and provide preliminary advice or suggest visiting a healthcare professional.
3. Health Education
o Offer information about common conditions, treatments, and preventive care.
o Share blog posts, FAQs, or video resources.
4. Billing and Insurance Queries
o Answer questions about billing (e.g., invoice details, payment methods).
o Check insurance eligibility or claim status.
Healthcare Provider-Focused Use Cases
1. Patient Intake Support
o Pre-fill forms with conversational data entry.
o Gather initial information like symptoms, allergies, and medical history.
2. Post-Treatment Follow-Up
o Collect feedback or follow-up information from patients.
o Monitor symptoms post-appointment.
3. Care Plan Assistance
o Provide patients with step-by-step guidance on adhering to prescribed care plans.
Administrative Use Cases
1. FAQ Automation
o Address frequently asked questions about clinic hours, services offered, and locations.
2. Technical Support
o Assist with navigating the website or app.

Skills: Python, Chatbot Development

We are seeking an experienced developer to create a web scraping bot that extracts real-time coin data from cryptocurrency trading websites. The bot should efficiently mine essential metrics, such as trading volume, at specified intervals and deliver structured data for further analysis. Familiarity with various cryptocurrency platforms and scraping techniques is necessary. If you have a passion for data mining and a solid understanding of the cryptocurrency landscape, we would love to hear from you.

Skills: Python, Data Scraping, Data Mining, JavaScript, Blockchain

We are seeking a skilled Data Scientist to assist with data analysis and insights generation for a small-scale project. The role involves working with structured datasets to identify trends, build visualizations, and deliver actionable insights.

Key Responsibilities:

Clean, process, and analyze structured data.
Generate visualizations (charts, graphs, dashboards) to present key insights.

Skills: Data Science, Python, Machine Learning

Developing an AI-driven stock trading platform that uses news and momentum plays for day trading:
Step 1: Understand the Requirements and Regulations
1. Market Understanding:
• Learn about day trading strategies, momentum trading, and the role of news sentiment in stock price movements.
• Research the nuances of intraday trading, such as volatility, spreads, and liquidity.
2. Regulatory Compliance:
• Familiarize yourself with regulations like FINRA Day Trading Rules (if operating in the U.S.) and trading platform compliance requirements.
• Ensure you adhere to licensing and disclosure rules.

Step 2: Define Your Tech Stack
1. Programming Language:
• Python is highly recommended due to its vast ecosystem for financial modeling and AI.
• Libraries like Pandas, NumPy, TensorFlow, PyTorch, and Scikit-learn are essential.
2. Database:
• Use a high-performance database to store historical data and trade logs (e.g., PostgreSQL, MongoDB).
3. APIs for Market Data:
• Acquire real-time data feeds from providers like Alpaca, Polygon.io, or Alpha Vantage.
• For news data, consider APIs like Google News API, AlphaSense, or LexisNexis.

Step 3: Gather and Process Data
1. Market Data:
• Obtain historical and real-time price, volume, and ticker data.
• Integrate Level 2 order book data for intraday depth analysis.
2. News Sentiment:
• Use natural language processing (NLP) to analyze sentiment from financial news, press releases, and social media.
• Libraries like SpaCy, Hugging Face Transformers, and NLTK are ideal for this.
3. Feature Engineering:
• Identify features such as price momentum, RSI, MACD, news sentiment scores, and trading volume spikes.

Step 4: Develop the AI Models
1. Algorithm Selection:
• Use machine learning models for pattern recognition (e.g., Random Forest, Gradient Boosting).
• Use deep learning (e.g., LSTMs, Transformers) for sequential data and sentiment analysis.
2. Training and Testing:
• Train models on historical data and validate them using backtesting frameworks like Backtrader.
• Evaluate performance with metrics like Sharpe Ratio, Win Rate, and Maximum Drawdown.

Step 5: Build the Trading Platform
1. Core Components:
• Order Execution Engine: Sends and monitors trades via brokerage APIs (e.g., Alpaca, Interactive Brokers).
• Strategy Engine: Uses AI models to generate buy/sell signals.
• Risk Management Module: Implements stop-loss, position sizing, and max-loss per trade.
2. User Interface:
• Build a dashboard for real-time monitoring using frameworks like Flask, Django (backend), and React or Vue.js (frontend).

Step 6: Test the System
1. Paper Trading:
• Start with simulated trades to evaluate the system without risking real money.
• Use platforms like Alpaca or Interactive Brokers for paper trading.
2. Stress Testing:
• Test the system’s performance during high-volatility events to ensure stability and quick execution.

Step 7: Deploy and Optimize
1. Deploy in Production:
• Use cloud services like AWS, Google Cloud, or Azure for scalability.
• Set up proper monitoring for latency, execution errors, and model drift.
2. Optimize Models:
• Continuously refine AI models using new data and insights.
• Regularly retrain the system to adapt to changing market conditions.

Step 8: Scale Up
• Integrate more data sources (e.g., alternative data like weather, macroeconomic indicators).
• Expand to additional asset classes like options, futures, or crypto.

By starting small and iterating based on performance and feedback, we can build a robust AI stock trading platform tailored for intraday momentum trading.

Skills: Artificial Intelligence, Deep Learning, TensorFlow, Python, Machine Learning, Data Science

We are seeking an experienced developer to create a machine learning chatbot tailored for our sales team. The chatbot should assist with enhancing sales techniques, handling objections, and building rapport with clients. The ideal candidate will have a strong background in machine learning, natural language processing, and chatbot development. Your expertise will be crucial in designing an intuitive and effective tool that integrates seamlessly into our sales processes.

Skills: Python, Machine Learning, Artificial Intelligence, Natural Language Processing, Lead Generation

convert a couple indicators from mq4 to .mq5. If you decompile as well, that would be a plus.

Skills: Python, MQL 4, MQL 5, Pine Script, Machine Learning, Artificial Intelligence, Artificial Neural Network, Llama 3, Web Development, Android Studio

We are looking for an experienced developer to either create or use an existing Solana bot that can scrape and make quick purchases from a specific Telegram channel. The bot should be capable of processing real-time data and executing trades efficiently to maximize our investment opportunities.
Currently I am using Maestrobot to scrape the channel and buy and it does work but it takes too long. For example, a channel will post a contract address and the current market cap at 25k, then my bot will scrape and buy at 70k, or the token will bond and I will have to snipe in getting an average entry of like 100-150k. I need something that buys the instant the channel posts so I get in early.

The ideal candidate should have a strong understanding of cryptocurrency trading, bot development, and Telegram APIs. Please provide examples of previous similar work and your approach to this project.

Skills: Python, API, Telegram API, Bot Development, Node.js

Hello,
I'm looking for help in migrating my Matomo On-Premise from my current WP installation (oldsite/matomo_analytics/matomo) to the NEW WP installation (https://analytics.newsite/).
Anyone available?

Best,
Francesco

Skills: Data Mining, Data Scraping, Microsoft Excel, Python, ETL Pipeline, Piwik PRO, DApps, MySQL, Big Data, Web Analytics, Database Design, Google Analytics, Data Analysis, Machine Learning, RESTful API

We are seeking a skilled backend developer to assist in building the infrastructure for a data collection project. The ideal candidate will have experience in designing scalable APIs and managing databases. Your expertise will be crucial in ensuring the efficient collection and storage of data. If you have a passion for backend development and are eager to contribute to an impactful project, we would love to hear from you. Please include examples of your previous work in your application.

Skills: Python, API, Data Scraping

We are developing Trademark management software. For that we needed data of all trademark applications filed on Indian trademark website of government of India.
But due to lack of time, we bought data of 67.50 trademark applications filed and updated that in our software.
Now, we want you to develop scrapper:
i. that can update data and documents of existing 6.75 million trademark stored on aws server, and
ii. that can scrap all data and document of newly filed trademark application, which are not in our database.

Watch https://www.youtube.com/watch?v=PfbgkbSUF0g for understanding.

---------------------------------------------------------------------------------------------------------------------------

For your knowledge:
1. Our SaaS is hosted on EC2 server of AWS
2. Data is hosted on RDS server of AWS,
3. Documents are stored on S3 server of AWS,

thus, you will need to update data to RDS server and documents to S3 server.

4. Our SaaS www.trademarksearchpro.com is built using Laravel PHP

5. The primary source of data will be the IP India trademark search site (https://tmrsearch.ipindia.gov.in/eregister/)

6. Data mentioned in the google links needed to be scrapped:

https://tinyurl.com/eregisterdata
.
7. Please watch following youtube video for understanding:

https://www.youtube.com/watch?v=PfbgkbSUF0g

---------------------------------------------------------------------------------------------------------------------------

Scope of work:
1. To scrap data and documents of newly trademark applications filed in India
2. To update scrapped data and documents of trademark which are already in database as per trademark updation rules.
https://docs.google.com/document/d/1pi1-k-QEU40BJSzqKEhH_ET0XuMGTT0A3OhI_6GPEwE/edit?usp=sharing

---------------------------------------------------------------------------------------------------------------------------

Ideal candidate should be proficient in data scraping and familiar with trademark data. Prior experience with developing similar scripts will be an advantage.

Skills: Data Scraping, Python

I have three small GitHub projects that I want to bring together into a single piece of software. They're all Python based and require work around automations and chatgpt4.

I myself do not have an IT or software background but I have a clear understanding of what I want to achieve from this and also have access to a similar piece of software that could provide guidance for it.

Skills: Python, GitHub, Web Development

Título:
Desarrollo de un sistema de entrenamiento para reconocimiento de cartas y pot en un juego de cartas usando inteligencia artificial

Descripción del proyecto:
Estamos buscando un freelancer experimentado en el campo de la visión por computadora y el entrenamiento de modelos de inteligencia artificial para ayudarnos a desarrollar un sistema eficiente que pueda identificar de forma precisa los elementos visuales presentes en nuestras imágenes.

Problema a resolver:
Disponemos de un conjunto de 3000 imágenes etiquetadas que contienen cartas y valores del pot (cantidad de fichas en juego) capturados de una mesa virtual. Hemos intentado entrenar modelos basados en TrOCR, pero los resultados no han sido satisfactorios, especialmente con respecto al reconocimiento de elementos claves como:

El "Pot" (valor numérico en blanco sobre fondo oscuro).

Los valores y símbolos de las cartas (por ejemplo, "A♠", "10♣").

El principal reto ha sido lidiar con imágenes que, a pesar de ser claras para un ojo humano, presentan variabilidad en condiciones como luminosidad y contraste, lo que dificulta su interpretación por los modelos actuales.

Objetivos del proyecto:

Diseñar e implementar un sistema de preprocesamiento adecuado para las imágenes, asegurando que los elementos clave sean resaltados para su correcta interpretación por el modelo.

Entrenar un modelo eficiente que pueda:

Reconocer correctamente los valores del "Pot".

Identificar los valores y símbolos de las cartas en las imágenes.

Probar y validar el modelo con un conjunto de datos no visto previamente para garantizar su precisión y robustez.



Detalles técnicos:

Las imágenes de entrada son capturas de pantalla de 237x96 px, las cuales necesitan ser procesadas para resaltar los textos y elementos clave.

Las etiquetas ya están definidas y disponibles en un archivo JSON.



Entregables esperados:

Un codigo de preprocesamiento para la generacion del dataset a partir de imagenes y json de etiquetado, implementado y funcional que pueda ser integrado a nuestra pipeline actual.

Un modelo entrenado y optimizado para el reconocimiento de pot y cartas, con métricas de evaluación claras (precisión, recall, F1-score).

Codigo para replicar el entrenamiento y codigo para evaluar el modelo.

Presupuesto y tiempo: El presupuesto es de 100 Euros, y esperamos completar el proyecto en un plazo de 2 dias.

Nota adicional: Proveeremos un conjunto de datos etiquetado de ejemplo para pruebas iniciales. Estamos abiertos a sugerencias sobre enfoques alternativos (por ejemplo, cambiar el modelo base, usar frameworks específicos, etc.). Importante:Te proporcionarè varias imagenes para que puedas entrenar y evaluar el modelo, pero la evaluacion final se harà haciendo inferir al modelo con imagenes que nunca vio (mismo tipo, estilo, forma y formato que las que te proporciono para el entrenamiento)

Skills: Java, JavaScript, Python, Programming, Pytorch

Project Overview
I need someone to assist with setting up crypto mining, including configuring the settings and finalizing the setup. Clear instructions have been provided. This shouldn't take long.
The goal is to create a seamless system where users can easily donate their compute power to mine Ethereum Classic (ETC). The system should include:

A single-click installer that sets up and starts mining automatically in the background.
A backend dashboard for you to monitor mining activity and earnings.
Robust resilience features to ensure mining continues uninterrupted.
Instructions for Developer
1. Mining Software Integration
Mining Software: Use NBMiner as the embedded miner.

Configuration: Preconfigure NBMiner with:

Stratum URL: stratum+tcp://etc.2miners.com:1010
Wallet Address: A single ETC wallet you control.
Worker Name: Auto-generate based on the user's device name or a unique identifier.
Example Config File for NBMiner (start.bat):

bash
Copy code
nbminer -a etchash -o stratum+tcp://etc.2miners.com:1010 -u YOUR_ETC_WALLET.WORKER_NAME
2. Silent Installer
Installer Tool: Use NSIS (Nullsoft Scriptable Install System) to create a single-click installer.

Installation Steps:

Install NBMiner to a hidden directory (e.g., C:\ProgramData\ETCMiner).
Set up auto-start on boot via a Windows registry entry.
Ensure NBMiner runs silently in the background with no user interaction.
NSIS Script Example:

nsis
Copy code
OutFile "ETC_Miner_Setup.exe"
InstallDir "$PROGRAMFILES\ETCMiner"
RequestExecutionLevel admin
Section
SetOutPath $INSTDIR
File "nbminer.exe"
File "config.json"
WriteRegStr HKLM "Software\Microsoft\Windows\CurrentVersion\Run" "ETCMiner" "$INSTDIR\nbminer.exe"
SectionEnd
3. Auto-Updater
Updater Script:
Write a script to check for updates using an API (e.g., GitHub Releases or AWS S3).
Download and replace outdated files.
Schedule this script to run periodically using Task Scheduler (Windows).
4. Admin Dashboard
Backend Server:

Use Python, Node.js, or any preferred backend framework.
Pull stats from the pool’s API (e.g., 2Miners API).
Stats to Display:

Total hash rate.
Number of active devices.
Earnings and payouts.
Security:

Restrict access to the dashboard via password or IP whitelist.
Host the backend and dashboard securely using HTTPS.
5. System Resilience
Crash Recovery:
Use a watchdog script or batch file to restart NBMiner automatically if it crashes.
Example Watchdog Script (Batch):
batch
Copy code
:start
nbminer.exe -a etchash -o stratum+tcp://etc.2miners.com:1010 -u YOUR_ETC_WALLET.WORKER_NAME
timeout /t 10
goto start
Startup on Reboot:
Ensure mining starts automatically after a system reboot using the registry entry in the NSIS script.
6. Testing
Test the installer across a range of hardware (e.g., NVIDIA and AMD GPUs).
Verify:
Proper hash rate contributions from each device.
Shares being correctly submitted to the mining pool.
Stability under different conditions (e.g., reboots, crashes).
Resources for Development
Mining Software: NBMiner
Installer Tool: NSIS (Nullsoft Scriptable Install System)
API Reference: 2Miners API Documentation
Hosting: Use AWS, DigitalOcean, or similar for the backend server.
Dashboard Framework: Use Python Flask/Django or Node.js with a charting library like Chart.js for visualization.

Skills: Web Development, full stack, Cryptocurrency Mining

Video record yourself going through the steps of using "ChatGPT" to create a Python script (one version that is runnable on a Mac and another version for PC) to scrape the values detailed below from the following website:

*Also video record yourself running the Python script.

More Details Linked Below:
https://www.evernote.com/shard/s30/sh/17d6246b-df74-c44f-80be-80583fbc8267/xnUtOBrDbaXAYnJCdHxyhPbqM7mbguzuTHWTGC8prGFJwYtQOEzUGqgcqQ

Skills: Python, Data Scraping, Data Mining, Python Script, ChatGPT

Goal: Individually apply the codebook to both speeches (2022 & 2023) and analyze the findings in a short paper.

Steps:
1. Individual Coding: use the finalised codebook to code both speeches independently.
2. Analytical paper: Write a paper (3-4 pages) that includes:
1. a description of your coding process.
2. presentation and analysis of your findings: you can include a quantitative overview of the differences between 2022 and 2023 and use examples from the speeches to illustrate your findings.
3. a reflection on the implications of these findings for EU policy.
4. attach the used codebook as appendix to the paper
5. Attach the excel downloaded from Atlas.ti as a second document in the assignment submission.

Assessment criteria:

When evaluating your work on this assignment, several criteria will be considered to ensure a comprehensive assessment of your skills in qualitative coding and analysis. These criteria are designed to gauge your technical ability in coding the speeches and your analytical skills in interpreting and presenting your findings. Here's a breakdown of the key evaluation criteria:

(1) Accuracy and Thoroughness of Coding (30%)

Adherence to Codebook: How well you applied the finalized codebook in your coding.
Comprehensiveness: The extent to which you have identified and accurately coded relevant themes and sub-themes in the speeches.
Consistency: Uniformity in applying codes throughout the text, clearly understanding the coding definitions and rules.


(2) Depth and Insightfulness of Analysis (30%)
Analytical Depth: Ability to move beyond mere description to analyze the underlying themes and messages in the speeches.
Interpretation of Data: How effectively you interpret the coded data to draw meaningful conclusions about Ursula von der Leyen's priorities and rhetorical strategies.
Contextual Understanding: Demonstrating an understanding of the broader geopolitical context and its relation to the themes identified in the speeches.


(3) Clarity and Coherence of the Written Report (20%):
Organization: Logical structure and flow of the report, including a clear introduction, body, and conclusion.
Clarity of Expression: Clear and concise writing that makes your analysis understandable.
Evidence Support: Use of specific examples from the speeches to support your analysis.


(4) Quality of Reflections and Conclusions (10%):
Reflective Insight: Personal reflection on what the speeches reveal about EU policy and geopolitical stance.
Implications: Discuss the potential implications of these stances for international relations and policy-making.


(5) Overall Presentation (10%)
Format and Length: Compliance with specified formatting guidelines and length requirements.
Citation and Academic Integrity: Proper citation of sources and adherence to academic integrity standards.
Professionalism: Overall presentation quality, including grammar, spelling, and readability.
Visual Representations: Effective use of charts or graphs (if applicable) to illustrate key findings.

While Writing Your Paper: Be thorough in describing your coding process and insightful in your analysis. Reflect on how the speeches align with current geopolitical events.
Resources: Utilize provided transcripts and any relevant literature (including obligatory and recommended readings from the course where applicable).

SOURCES:

https://ec.europa.eu/commission/presscorner/detail/en/speech_22_5493


https://ec.europa.eu/commission/presscorner/detail/en/speech_23_4426

DEADLINE: JAN 7TH 17:00 CET

Skills: Python, R, Stata, Statistics, Microsoft Excel, Data Analysis, Data Visualization, Python Numpy FastAI, Economics, Econometrics, Machine Learning, Economic Analysis, Data Analytics, Data Model

I am seeking a Python developer with experience in data analysis to analyze a dataset of trading results exported from a trading bot (CSV format). The goal is to understand the performance and identify trends, correlations, and potential key factors influencing the trades.

What I need:

A Python script that:

Processes and visualizes the trade data (e.g., profit/loss, trade frequency, and other relevant metrics).

Identifies potential correlations or recurring patterns in the dataset (e.g., performance based on certain conditions).
Highlights any interesting observations or metrics that stand out.
Documentation or a brief report summarizing the findings in a clear, non-technical way.

Skills Required:

Strong Python programming skills, particularly with libraries like pandas and matplotlib (or similar tools).

Experience in data analysis and visualization.

Familiarity with trading concepts and datasets (e.g., profit/loss, indicators) is a plus.
Optional but preferred:

Understanding of financial markets and trading indicators.
Deliverables:

A Python script that I can run on my own dataset.
Charts or graphs illustrating the key insights from the analysis.
A summary of findings with potential recommendations for further exploration.

Additional Information:
I will provide a CSV file containing the trade data and basic context about the bot's operation if needed. The focus is purely on data analysis and performance trends.

Skills: Python, Data Analysis, Data Science, Data Visualization, Microsoft Excel

We are seeking a skilled developer to build a paper trading bot that will monitor specific wallets and replicate all trades on a paper-trading basis.

We also need a bot that effectively mines coin data from cryptocurrency trading websites, ensuring accurate and timely trade reflections.

Ideal candidates will have experience in developing trading algorithms and a solid understanding of cryptocurrency markets. Please provide examples of previous work related to trading bots or similar projects.

Skills: Cryptocurrency, Python, Blockchain, Artificial Intelligence, Web Scraping, Automation, trading bot

No agencies please. I need immediate assistance.

I have a django/vue project with separate frontend and backend repos. We have a docker setup for those. I'm trying to add an ML library from crewai but there seems to be some issue with the dependencies. Works with python 3.9 but not with 3.11. Need someone with experience with docker, django and solving library dependencies. I can provide assistance.

Skills: Docker, Linux System Administration

I’m looking for an individual or team that can help me with all my ideas that mainly revolve around AI/ML, Python, automation (scraping/workflows), AI agents, and more. I have my own computer where I have Windows and WSL2 with a NVIDIA GeForce RTX 3060 Ti. I’m struggling figuring out how to do machine learning and handle Python packages with all the dependencies. I want hands on training and also having my projects built for me.

Skills: Python, Computer Vision, TensorFlow, Data Science, pandas, NumPy, PyTorch, OpenCV, Machine Learning, Natural Language Processing, Matplotlib, Artificial Intelligence, Statistics, Data Analysis