Phoenix - Your AI AssistantNlp Projects
Looking for freelance Nlp jobs and project work? PeoplePerHour has you covered.
opportunity
AI Agents & Development Tools
The project involves the design and deployment of multiple AI agents on a Jetson Orin 64GB device to automate core business functions, with a focus on the construction sector, lead generation, and AI-driven outreach. The agents will operate remotely and securely and will not rely on cloud-based subscriptions. All systems must be optimized for local processing, resource efficiency, and user-only access. Activity 1: AI Research Agent – “Jatson AI” Performs advanced web research and document analysis. Integrates online search with local documents (PDF, Word, Excel, images). Custom prompts for construction-specific questions. Features: SSH/VPN secure access OCR & NLP parsing Folder monitoring for documents Web UI or terminal interface HTML, PDF, and DOCX output support Activity 2: Construction Estimator & Deal Analyzer – “Jatson Estimator” Produces detailed cost estimates, BOQs, and ROI/deal analysis. Adapts to various sectors (residential, commercial, marine, infrastructure). Accepts rate libraries, cost plans, and development assumptions. Features: GDV, ROC, Profit%, CapEx/OpEx separation Real-time report generation (Excel/PDF) Live calculation interface Learning from past estimates OCR & NLP for document intake Activity 3: Scraper AI Tool Extracts contact information (emails, phones, names, roles) from: LinkedIn Google Maps Companies House Email guessing and validation system. Campaign management and CSV export compatible with TeleCRM. Excludes irrelevant leads and prevents duplicates. Activity 4: LinkedIn AI Tool Automates: Posting (image + text) Connection requests Messaging (InMail, groups, 1st–3rd degree) Follow-ups using AI responses Learns from your input over time. Extracts lead data from chats and organizes into structured Excel campaigns. Manual includes install/startup/reset steps. Activity 5: Facebook AI Tool Similar to LinkedIn tool but focused on Facebook Groups. Auto-messages commenters or poster leads. Filters out non-relevant users (e.g., deal sourcers). Campaign tracking and lead data extraction. Scheduled posting & campaign organization by business area. General Requirements (All Activities) Deployment planned for July due to hardware availability. Must include: Local memory optimization (to prevent hallucinations) Backup systems (local or remote) Simple user manuals (installation, operation, reset) No cloud service subscriptions unless explicitly approved.
Expert Dev/AI Specialist for Voice AI Outbound Call Solution
Leading Australian AI consultancy, needs a skilled developer or AI specialist for a fast-turnaround project to build a bespoke voice AI solution for outbound calls. We are after a system with human-like conversations, surpassing the limitations of third-party tools like ElevenLabs, and a self-service dashboard for scalable agent creation. If you can deliver top-notch work in 3-5 days, we want you on board. What We Need - Build a custom voice AI system for outbound calls, focusing on advanced naturalism by tweaking tone, pitch, and emotional expressiveness without relying on external tools like ElevenLabs. - Create a self-service dashboard to generate and manage AI agents at scale, integrating with our website for lead generation, appointment booking, and more. - Ensure the solution can handle high-volume outbound calls (e.g., 1,000 calls per minute) with low latency and natural-sounding interactions. - Develop a fully in-house system, avoiding third-party dependencies, tailored for industries like mining, healthcare, retail, construction, tourism, and tech. Skills We Are Looking For - Proven experience in voice AI development, particularly with text-to-speech (TTS) and natural language processing (NLP). - Expertise in building custom AI solutions with a focus on voice naturalism (e.g., adjusting pitch, tone, emotional expressiveness). - Strong web development skills to create a self-service dashboard (e.g., React, Node.js, or similar) that integrates with our website. - Ability to design scalable systems for high call volumes with low latency. - Familiarity with Australian data privacy laws (e.g., Privacy Act 1988) to ensure compliance. Project Details - Duration: 2-3 days maximum—tight deadline, so we need someone who can hit the ground running. - Budget: Competitive, based on experience—please include your project quote for a 3-5 day delivery. - Location: Remote, but must be available for meetings in AEST timezone. Why Work With Us - Join a leading AI consultancy making waves in Australia’s tech scene. - Work on a cutting-edge project that pushes the limits of voice AI technology. - Potential for future gigs with us if this goes well. How to Apply Send us your proposal with: - Examples of past voice AI or AI projects you have completed quickly. - Your approach to building a custom voice AI system with advanced naturalism in 3-5 days. - Your experience with scalable dashboards and website integrations. - Your project quote for a 3-5 day delivery. Looking forward to hearing from you.
opportunitypre-funded
Tabulated PDF to Word conversion and Arabic/English translation
Requirements of the contractor: - must be experienced in coding/programming. Specific Arabic language libraries is highly desirable - must be Arabic speaking in and able to review Arabic Fus'Ha including tashkeel Requirements of the project: All of the below must be met for payment since there are already online tools much cheaper than I'm paying here that do some of the below but not all. For full payment I can accept up to 5 errors a page For half payment I can accept up to 15 errors per page NOTE: where I mention Python or libraries below, this are just example. You can use any method you deem fit, as long as the product is delivered. Below are the original Arabic work and the English translation. You can start from the Authors preface. The footnotes would be different so use google translate to translate the footnotes not the English translation. Original Arabic word to be converted and translated: https://archive.org/details/AlIrshad_201712/%D8%A7%D9%84%D8%A5%D8%B1%D8%B4%D8%A7%D8%AF%20-%20%D8%A7%D9%84%D8%B4%D9%8A%D8%AE%20%D8%A7%D9%84%D9%85%D9%81%D9%8A%D8%AF%201/page/n3/mode/2up English Translation: https://archive.org/details/AlIrshad_201712/%D8%A7%D9%84%D8%A5%D8%B1%D8%B4%D8%A7%D8%AF%20-%20%D8%A7%D9%84%D8%B4%D9%8A%D8%AE%20%D8%A7%D9%84%D9%85%D9%81%D9%8A%D8%AF%201/page/n23/mode/2up All the below must be delivered: 1. Convert PDF to Clean Word Document: online tools have some errors when converting this so you would need to use coding to ensure accuracy, as standard converter tools have failed to maintain letter integrity, often replacing letters with shapes or symbols. 2. Font and Size: English text: Arial, size 11. Arabic text: Arial, size 15.5. 3. Document Split: Split the final output into separate Word documents each one having finishing on the 10th page e.g. first document 1-10, second document 11-20, third 21-30 and so on. This is instead of one large document which would make it slow to work on Google docs 4. Create a Two-Column Table: Place the original Arabic text in the right column and the English translation in the left column. 5. Alignment: Ensure Arabic text is right-to-left aligned. 7. Add Tashkeel to the Arabic Text: for example utilize a Python library or function to add tashkeel to the Arabic text. 8. Intelligent Sentence Splitting: Split the text into 1 or 2 sentences per cell using an Arabic-specific NLP library rather than splitting by commas or fullstops. For example libraries like camel-tools can tokenize Arabic sentences while respecting linguistic boundaries (e.g., keeping “bihaa” with its associated words). 9. Sentence matching: Ensure Arabic sentences of each cell are matching the correct English translation sentence. This will require some work since the English translation may either omit a sentence completely or give a completely different meaning than the literal meaning. Where completely omitted the English cell can state "sentence omitted" or meaning is altered significantly this can stay in the cell but a comment explain this. 10. Quality Expectations: The majority of the tashkeel, sentence splitting, and translation must be accurate, with no more errors than what is specified above. Trial the process on 1-3 pages first and submit for quality check before proceeding further. The final output must maintain high quality across all pages. Random checks will be conducted to ensure quality.
Past "Nlp" Projects
LLM Reasoning Benchmark Questions + Python Evaluation Script
I need a freelancer to prepare benchmark questions and answers for testing a custom LLM’s reasoning ability. Scope: Question Set: Collect 500–600 LLM benchmark questions with correct answers. Focus areas: logical, mathematical, commonsense, analytical, and multi-step reasoning. Deliver as JSON or CSV. Python Script: Load questions and send them to an LLM (I'll handle API integration). Compare model answers to correct ones. Output a simple accuracy report. Requirements: Knowledge of LLMs, reasoning datasets, or NLP is preferred. Clean, documented code. Use only open or original questions.
opportunity
Build a SaaS system
We're seeking an experienced SaaS Developer (or development team) to bring our innovative AI-powered testing platform to life. This SaaS platform leverages advanced AI to streamline and enhance software quality assurance processes. Your Role: Develop and deploy a scalable, secure, and high-performing SaaS solution. Integrate AI models and automation workflows effectively within a cloud environment. Ensure robust integrations with modern DevOps tools and services. Implement responsive and intuitive interfaces aligned with industry standards. Maintain high security and compliance standards (GDPR, SOC2). Skills & Experience: Proven expertise in SaaS platform development. Strong experience with cloud-native architecture (Azure/AWS). Familiarity with Kubernetes, Docker, serverless architecture, and scalable databases. Solid understanding of AI integration (NLP, predictive models). Familiar with CI/CD pipelines, DevOps integrations (e.g., Azure DevOps, Jira). Excellent security best practices and compliance awareness. Effective communication, proactive problem-solving, and agile project management. Project Duration: Initial contract with the potential for ongoing development and support. How to Apply: Please provide: A brief overview of relevant experience Examples of previous SaaS/cloud projects Your availability and estimated rates We look forward to working with a talented developer/team to build a truly impactful SaaS product.
opportunity
Implement AI chatbot for our website integrating with tools
Develop an AI assistant for an HVAC service company's website to improve user engagement and conversions. The assistant will integrate with the company's dispatch software API to answer visitor queries and direct them to live agents for further assistance. Using modern conversational techniques, the goal is to attract website visitors through an AI chat experience and seamlessly handoff qualified leads to agents. The assistant should leverage available marketing APIs like Hubspot to sync with promotional campaigns and build personalized interactions. Strong proficiency in NLP, API integration and marketing automation is required to design and deploy a versatile conversational solution that enhances the existing digital experience for customers and agents. Sample dialog flows and integrations with dispatch/CRM systems will be provided to evaluate technical feasibility.
AI Consultant | Developer
Looking for a AI developer who has vast knowledge within the different kinds of AI projects and got working experience on some. Below listed are the projects of interest. Chatbots and Virtual Assistants Predictive Analytics Platforms Recommendation Engines Automated Lead Scoring Systems Sentiment Analysis Tools Image and Video Recognition Systems Voice Recognition Applications Sales Forecasting Models Autonomous AI Agents for Workflow Automation Natural Language Processing (NLP) Applications Dynamic Pricing Engines Behavioral Analysis Tools Fraud Detection Systems Visual Search Engines AI-Powered Inventory Management Personalized Marketing Campaigns Document Processing and Data Extraction Real-Time Translation Tools Automated Content Generation AI-Powered Call Analysis Platforms
opportunity
Legal Research Platform Prototype Development
I am looking for an experienced full-stack developer with expertise in data engineering and basic AI/ML to help build a prototype for a legal research platform. The platform will involve: - Designing and implementing a database to store and organize legal documents in Arabic. - Developing a search functionality with advanced filtering options, supporting Arabic text. - Integrating basic AI/ML capabilities for text classification, similarity analysis, search, and summarization. - Creating a simple frontend for searching and viewing documents. The ideal candidate should have: - Strong experience in full-stack development (backend and frontend). - Knowledge of database design and data pipelines. - Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch, or NLP libraries) and experience working with Arabic language processing. - Ability to work independently and deliver a functional prototype. This is a prototype project with potential for long-term collaboration as the platform evolves. If you have relevant experience and are interested in working on a legal tech project, please submit your proposal with: - A brief overview of your experience. - Examples of similar projects you’ve worked on. - Your estimated timeline and budget for this prototype. Looking forward to working with a skilled professional to bring this idea to life!
opportunity
Python Developer to Review, Optimize & Run Web Crawler
We need an experienced Python developer with expertise in web scraping, machine learning, and automation to review, optimize, and run an existing domain crawler. The goal is to improve efficiency, accuracy, and reliability. This project will be conducted in two stages: Stage 1: Successfully Run the Existing Crawler Your first task is to set up and successfully run the crawler to validate that you can: - Install and configure all dependencies - Execute the crawler on a dataset of domain names - Generate valid output - Troubleshoot any initial setup issues Once this is successfully demonstrated, we will move to Stage 2. Stage 2: Propose a Better Solution or Manage Ongoing Runs - Depending on your expertise and analysis of the current crawler, you will either: A) Propose & Implement Improvements (Rewrite or Optimize the Crawler) - Identify inefficiencies and suggest a better architecture - Improve performance & accuracy (e.g., async scraping, multiprocessing, better ML model) - Ensure scalability if running on large datasets - Refactor code for long-term maintainability OR B) Run & Maintain the Crawler Monthly - Execute the crawler on a scheduled basis - Monitor accuracy and adjust as needed - Fix bugs & ensure stability - Implement new features & improvements over time - Provide regular reports on data quality and insights About the current crawler The current crawler is built in Python and classifies domain names based on their content (e.g., parked, active, expired). It utilizes: - Requests / Aiohttp (Web scraping) - Selenium (Browser automation) - BeautifulSoup (HTML parsing) - Langdetect / NLP (Language detection & text classification) - XGBoost (Machine learning classification) Ideal Candidate: - Strong Python skills (async programming, OOP) - Web scraping & automation expertise (requests, Selenium, BeautifulSoup) - Machine learning experience (XGBoost, Scikit-learn, NLP) - Familiarity with databases (SQL/NoSQL) for storing results - Cloud/DevOps experience (if needed for large-scale deployment) - Ability to work independently and ensure high-quality results - High level in English Project Timeline & Budget: Deliverables expected within 2-4 weeks Budget: Open to discussion based on experience & estimated work required.
opportunity
AI Developer to Build PR Management AI Agent
We are looking for an experienced AI developer to create a custom AI agent designed to assist PR Managers with two key tasks: Finding the right journalists and media contacts for different stories. Monitoring all brand-related coverage and generating visually impressive reports. The AI agent will streamline PR workflows, saving time and improving efficiency. Key Responsibilities of the AI Agent 1. Media Contact Finder - Search for journalists, bloggers, and influencers who cover specific topics, industries, or beats. - Filter contacts based on criteria such as location, publication, past articles, and social media activity. - Provide a ranked list of the most suitable media contacts for a given story. - Collect and organize contact details (email, social media handles, etc.) for identified journalists. 2. Real-Time Alerts for Proactive Pitching - Monitor news outlets, blogs, and social media for articles or posts related to your brand or industry. - Send real-time alerts to PR Managers when relevant articles are published, including: - Article title, summary, and link. - Key journalists or authors associated with the article. - Suggested pitching opportunities based on the news cycle. - Contact information of the journalists - Allow customization of alert criteria (e.g., keywords, topics, or specific journalists). 3. Media Coverage Monitor - Search for all brand-related coverage across news articles, blogs, and social media posts. - Analyze sentiment (positive, negative, neutral) and track trends over time. - Capture screenshots of articles and social media posts for inclusion in reports. - Maintain a database of coverage, including publication names, dates, and reach metrics. 4. Reporting - Generate visually aesthetic and professional reports that include: - Summaries of brand coverage. - Screenshots of articles and social media posts. - Data on publications (e.g., domain authority, reach, audience demographics). - Sentiment analysis and trend graphs. - Allow customization of report templates to match brand guidelines. Technical Requirements - Natural Language Processing (NLP): Analyze journalists' work, brand coverage, and breaking news for relevance and sentiment. - Web Scraping/API Integration: Pull data from media databases, news websites, and social media platforms in real time. - Real-Time Alert System: Implement a notification system (e.g., email, Slack, or in-app alerts) for immediate updates. - Data Visualization: Create visually appealing reports with charts, graphs, and screenshots. - Customizable Filters: Allow users to set filters for industries, topics, locations, or timeframes. - User-Friendly Dashboard: Provide an intuitive interface for searching contacts, monitoring coverage, and generating reports. Ideal Candidate - Proven experience in building AI agents, chatbots, or data-driven tools, particularly for business applications. - Strong background in machine learning, NLP, and data analysis. - Familiarity with media databases or PR workflows is a plus. - Proficiency in programming languages like Python and frameworks like TensorFlow or PyTorch. - Experience with API integration, web scraping tools, and real-time notification systems. - Ability to deliver a scalable, maintainable, and well-documented solution. Deliverables A fully functional AI agent with: - Media contact finding. - Real-time alerts for proactive pitching. - Media coverage monitoring and reporting. - A user-friendly dashboard for managing contacts, monitoring coverage, and generating reports. - Documentation and training on how to use and maintain the AI agent. Timeline and Budget Please provide an estimated timeline for completion and your proposed budget for this project. How to Apply If you’re interested in this project, please submit your proposal with the following: - A brief overview of your experience with similar projects. - Examples of past work (e.g., AI agents, data scraping tools, or media-related applications). - Your proposed approach to building this AI agent. - Estimated timeline and budget. Look forward to hearing from you. Thank you.
Ai automated editorial system
Ai automated editorial system Overview of the System: To automate the process of identifying key news stories and economic events, then finding relevant academic experts for interviews, we need a structured workflow with three core components: 1. News Feed Monitoring & Story Extraction Objective: Scrape or fetch top stories daily from major news sources (BBC, FT, NYT). Identify the most relevant 10 stories for academic discussions. Extract key details (headline, summary, category, and related experts). Process: News Scraping & API Integration: Use RSS feeds or news APIs (BBC News API, NYT API, FT API) to pull daily stories. https://www.bbc.co.uk/news/10628494 https://developer.nytimes.com/apis Apply NLP (Named Entity Recognition, NER) to extract topics, locations, and institutions Story Selection & Categorization: Use an LLM or rule-based filtering to: Select 10 most relevant stories daily. Categorize them (Politics, Science, Economics, Law, etc.). Finding Relevant Academics: Search Semantic Scholar, OpenAlex, ArXiv, CORE, or university directories /our own databases for 5 academic experts per story. Prioritize experts based on: Their recent papers on similar topics. GET THEIR emails. Output & Storage: Generate a structured daily report (JSON) with: Story headlines & summaries. Academic expert details (Name, Affiliation, Contact, Paper Links). 5. Send automated email drafts to invite experts DAILY. 2. Economic Calendar Event Monitoring Objective: Track major global economic events (UK, EU, US, Asia). Extract upcoming financial events (e.g., interest rate decisions, GDP releases). Find experts to analyze these events. Process: Data Sources & Event Monitoring: Integrate economic calendar APIs (ForexFactory, Investing.com, TradingEconomics, FRED). Fetch major scheduled events: Monetary policy meetings (Fed, ECB, BoE, BoJ, PBoC). GDP, inflation, employment reports. Market-moving events (OPEC meetings, IMF/World Bank reports). Event Categorization & Prioritization: Use event scoring based on: Global impact. Historical volatility caused by similar events. News coverage sentiment. Finding Academic Experts: Identify economists, financial analysts, and policy researchers via: University economics departments. Central bank research papers. Financial market analysis reports. Output & Storage: Generate a daily/weekly report with: Event summary. Impact analysis. 5 expert contacts for interviews. Automate email drafts for outreach. 3. Automation & Execution Plan Technology Stack Data Collection: RSS Feeds, APIs (News & Economic Calendar). Processing: Python (Pandas, NLP, Scraping). Storage: Google Sheets / Database. Expert Search: OpenAlex, Semantic Scholar, University Directories. Email Automation: Google Workspace API (Gmail), Mail Merge. Scaling & Refinement Phase 1: Automate daily reports (news + economic events) and manually review expert selection. Phase 2: Automate expert filtering with relevance scoring. Phase 3: Fully automate outreach emails with AI-generated pitch drafts.
opportunity
AI Engineer needed for AI Marketing Agency
The project involves developing a marketing software start-up that utilizes AI and web technologies to enhance customer service and engagement. The project includes various tasks such as training NLP models, implementing dialog management frameworks, automating keyword-triggered workflows, developing outbound engagement automation tools, building domain-specific Q&A interfaces, gathering datasets for customer service automation, cleaning and preprocessing datasets for NLP training, fine-tuning GPT-4 or Rasa on customer service datasets, integrating WhatsApp API for chatbot interaction, training lightweight NLP models for SMS automation, testing WhatsApp and SMS AI models under real-world scenarios, designing conversational UI for "Ask an AI Expert", collecting and preprocessing video datasets, setting up text-to-video synthesis pipeline, integrating TTS engines for natural voice generation, building workflows for automated campaign triggers, training AI systems for outbound cold outreach, testing cross-platform AI systems for messaging consistency, deploying AI models into staging, and establishing NLP feedback loops for ongoing improvement. The project requires expertise in AI engineering, web development, and marketing. The deliverables include an NLP model for WhatsApp responses, a functional dialog flow pipeline, keyword automation scripts, a setter bot for social platforms, an AI profiling tool for engagement, a functional expert query prototype, a dataset catalog for WhatsApp/SMS AI, cleaned and preprocessed datasets, a functional integration with the WhatsApp API, and a web-based conversational UI prototype. The project aims to improve customer service and engagement through AI-powered automation and personalized interactions.
opportunity
Ai with leads
I seek to develop an AI-powered lead generation system for my business using advanced machine learning and natural language processing techniques. The system should be able to analyze vast amounts of online data to identify and profile viable customer leads based on predefined targeting criteria. It must then intelligently engage with these potential customers across various digital channels to start meaningful conversations and gather critical business insights. The goal is to automate a major part of the lead sourcing process and uncover hidden leads that may otherwise be missed. Technical expertise in building sophisticated AI models and deploying conversational interfaces is essential. Examples of prior work developing lead gen solutions leveraging NLP would be appreciated.
opportunity
: AI ChatGPT & WhatsApp Integration Specialist
About Us: We are an innovative company dedicated to transforming customer engagement through cutting-edge technology. Our mission is to integrate AI solutions that drive efficiency and enhance user experiences across multiple platforms. We’re looking for a talented individual to join our team and help us lead the future of conversational AI. Role Overview: We are seeking an experienced professional with strong expertise in AI technologies—especially ChatGPT, chatbot development, and WhatsApp integration—to design, implement, and optimize interactive solutions for our business. The ideal candidate will play a critical role in enhancing our customer communication channels and streamlining operational processes through intelligent automation. Key Responsibilities: • AI Chatbot Development: Design, develop, and deploy chatbots leveraging ChatGPT and other AI models to create engaging, human-like conversations. • WhatsApp Integration: Implement seamless WhatsApp integration to ensure efficient, real-time communication with our customers and clients. • System Integration: Work closely with cross-functional teams to integrate chatbots with existing business systems and workflows. • Performance Optimization: Monitor and analyze chatbot interactions to identify areas for improvement and implement iterative enhancements. • Innovation & Research: Stay updated with the latest trends in AI and conversational platforms to continually refine our solutions. • Technical Support & Maintenance: Provide ongoing support, troubleshooting, and maintenance for AI-driven customer service applications. Requirements: • Proven experience with AI tools and frameworks, particularly ChatGPT and similar conversational AI models. • Hands-on experience in chatbot development and integration, especially within the WhatsApp ecosystem. • Proficiency in programming languages such as Python, JavaScript, or equivalent. • Strong understanding of Natural Language Processing (NLP) concepts. • Excellent analytical and problem-solving skills. • Ability to work collaboratively in a fast-paced, dynamic environment. • Excellent verbal and written communication skills. • A degree in Computer Science, Engineering, or a related field is preferred. What We Offer: • Competitive salary and comprehensive benefits package. • Opportunity to work with innovative technology and industry leaders. • A collaborative, creative, and supportive work environment. • Continuous learning and professional development opportunities. How to Apply: Interested candidates should send their resume along with a cover letter outlining their experience and why they are the perfect fit for this role to [Your Email Address]. Please include “AI ChatGPT & WhatsApp Integration Specialist Application” in the subject line. We look forward to exploring how you can help us revolutionize customer engagement through AI-driven solutions! Join us and be at the forefront of transforming business communication through intelligent automation!
opportunity
Enthusiast Developer For Low-Code Platform Development
I am looking to hire a software developer to create a platform that empowers users to rapidly develop powerful applications with minimal coding, leveraging intuitive visual interfaces and AI-driven insights. Goals: Ease of Use: Design an intuitive interface accessible to users of all skill levels. Scalability: Support applications ranging from small-scale to enterprise-level. AI Integration: Enhance user experience with AI-driven features and insights. Cross-Platform: Enable seamless deployment on web, mobile, and desktop. Security: Implement robust security measures to protect user data. Architecture: Frontend: Visual Editor: A user-friendly interface with drag-and-drop functionality and WYSIWYG editing for real-time preview and direct manipulation of UI elements. AI Assistant: Provide AI-driven suggestions and automations, including Natural Language Processing (NLP) for voice or text commands. Data Binding: Visual mapping of data sources to UI components with pre-built connectors for common services. Backend: Application Logic: Utilize frameworks like Laravel and ASP.NET for server-side logic. Database Integration: Support for MySQL, PostgreSQL, and MongoDB with AI-driven database schema suggestions. API Gateway: Secure and manage APIs with rate limiting, caching, and authentication. Key Features: Visual Development: Drag-and-drop editor with real-time preview and WYSIWYG capabilities. AI Builder: AI-driven suggestions, automations, and predictive analytics. Data Binding: Visual mapping of data sources to UI components. Security: Built-in authentication, authorization, and AI-driven security audits. Collaboration: Real-time collaboration, version control, and role-based access control. Technology Stack: Frontend: Frameworks: React, Vue.js, or Angular. Libraries: TensorFlow.js, Brain.js, Dialogflow for AI features. UI Components: Material-UI, Ant Design, or Vuetify. Backend: Frameworks: Node.js, Laravel, or ASP.NET. Database: MySQL, PostgreSQL, or MongoDB. Cloud-Based IDE: Develop and deploy apps in the cloud with version control and collaboration features. Multi-Environment Support: Test, staging, and production environments for seamless deployment. Marketplace: Curated extensions and templates for community-driven components and integrations. Library Structure: Organize technologies into logical groups for scalability and maintainability, including frontend libraries, AI/ML libraries, UI components, backend frameworks, database drivers, and security libraries. Security: Emphasize built-in security measures, including authentication, authorization, and encryption, ensuring compliance with regulations like GDPR and HIPAA.
opportunity
Full-Stack Developer for INTEGRAAL CRM Tool Completion
Overview We are looking for an experienced Full-Stack Developer to finalize the development of our INTEGRAAL CRM Tool, ensuring it meets the full specifications outlined in our functional and technical documentation. The system should provide comprehensive client and relationship management, AI-powered job matching, invoicing, time tracking, and compliance with Dutch labor market standards such as Blik op Werk. Responsibilities • Front-End Development: o Complete the user interface using React (Next.js) or Flutter for a seamless, responsive, and user-friendly experience. o Implement dynamic dashboards, forms, and interactive elements. • Back-End Development: o Enhance the Firebase-based backend, including Firestore, Cloud Functions, and authentication. o Develop robust APIs for external integrations (e.g., Stripe/Mollie, Blik op Werk data exports). • AI-Powered Job Matching: o Integrate a Machine Learning/NLP model (TensorFlow/Scikit-learn) for automated matching between job seekers and vacancies. o Implement a self-learning system that improves over time based on previous placements. • Document & Email Management: o Implement a document management system that supports auto-generated Word/PDF documents. o Set up an internal email integration for direct communication within the CRM. • Scheduling & Notifications: o Develop an advanced scheduling module that includes automated workflows, reminders, and notifications. o Enable real-time updates for upcoming deadlines and system alerts. • Time Tracking & Attendance: o Complete the hour logging system for employees and clients. o Implement alerts for exceeding budgeted hours. • Security & Compliance: o Ensure GDPR compliance and data security best practices. o Implement role-based access control for different user levels. • Testing & Debugging: o Conduct unit and integration testing to ensure stability and performance. o Optimize and fine-tune features based on user feedback. Required Skills • Frontend: React (Next.js) or Flutter • Backend: Firebase (Firestore, Cloud Functions, Authentication) • API Development: REST & GraphQL • Machine Learning: TensorFlow, Scikit-learn, or similar • Security & Compliance: OAuth, GDPR implementation • Cloud Services: Firebase Hosting, AWS/GCP for scalability • Tools: Git, Jira/Trello for project tracking Nice to Have • Experience with Blik op Werk compliance standards • Understanding of Dutch labor and reintegration processes • Previous work on AI-driven job matching platforms Deliverables • Fully functional CRM system with all outlined features. • AI-powered job matching with real-time recommendations. • Integrated invoicing, time tracking, and reporting functionalities. • Secure, scalable infrastructure with GDPR compliance. • Detailed documentation and user manuals. Application Process To apply, please submit: • A portfolio of relevant projects. • A proposed timeline with milestones. • A cost breakdown for resource allocation. • Your availability and preferred engagement model (freelance/full-time). ________________________________________ This is a key role in bringing our CRM tool to full completion. If you have the expertise and passion to build a robust, AI-driven workforce management platform, we look forward to your application!
Web Scrapping - Data Collection
Data Scraping and Training for a GPT Chatbot Introduction: We are seeking an experienced freelancer to collect, structure, and utilize relevant data from various online sources to train a chatbot based on the OpenAI API. The chatbot will be integrated into our WordPress website, and must provide accurate and quick responses on topics related to aesthetic medicine and the treatments offered by our clinic. Main Tasks: 1. Data Scraping • Identify and list relevant websites containing public information about aesthetic medicine (FAQs, treatment descriptions, etc.). • Collect data using appropriate scraping tools while adhering to regulations (legal notices, terms of use). • Organize the collected data in a structured format such as JSON or CSV. 2. Data Structuring and Preparation for Training • Filter and clean the data to ensure quality and relevance. • Structure the data into question-answer pairs, descriptions, or specific contexts. • Prepare a training file in JSONL format for use with the OpenAI API. 3. Documentation and Handover • Provide detailed documentation on the scraping, data cleaning. • Include recommendations for regular updates to the data and future model re-training. Required Skills: • Expertise in web scraping with tools such as Beautiful Soup, Scrapy, or Octoparse. • Experience in data manipulation (cleaning, structuring, JSON/CSV formats). • Strong understanding of machine learning concepts and natural language processing (NLP). • Strict adherence to regulations and best practices for data collection and usage (GDPR, legal notices). Deliverables: • Collected, cleaned, and structured data in JSON or CSV format. • A training file in JSONL format ready for use with the OpenAI API. • Comprehensive documentation of the process, including tools and methodologies used. Selection Process: 1. Review of proposals and portfolios. To Apply: If you are interested in this project and possess the required skills, please send us: • Your CV or portfolio. • A technical proposal describing your approach to scraping (and training ?). • A budget estimate.
opportunity
Development of a (LLM) for Automated Will Drafting
Project Overview: We are seeking an experienced developer with expertise in artificial intelligence, particularly in natural language processing (NLP), to create a custom Large Language Model (LLM). This LLM will parse client data from a structured data capture form and interpret notes provided by our admin team. Using this information, it will generate a legally compliant will based on predefined question and answer sets. The goal is to streamline and automate the will-drafting process, ensuring accuracy, compliance, and efficiency. Project Goals: Data Parsing: The LLM must accurately extract and interpret data from structured forms and unstructured admin notes. Predefined Logic: Use predefined question and answer sets to guide the will-drafting process, ensuring legal compliance and adherence to client instructions. Automated Will Drafting: Generate a complete, professional, and legally compliant will document tailored to the client’s unique inputs. Validation and Error Checking: Include a mechanism to flag incomplete or contradictory data for review. Scope of Work: Data Integration: Develop functionality to parse structured data from client capture forms (e.g., JSON, CSV, or other formats). Process unstructured admin notes and combine them with form data for context. LLM Development: Fine-tune an existing LLM (e.g., GPT, Claude) or build a custom model to interpret client inputs and map them to the predefined logic. Ensure the model respects UK legal terminology and practices for will drafting. Question and Answer Logic: Implement predefined Q&A logic to guide the model's output. Ensure flexibility to adapt to complex client scenarios, such as multiple beneficiaries, trusts, or guardianship provisions. Will Document Generation: Output a professionally formatted will document (Word/PDF). Include all necessary clauses, conditions, and legal provisions required for compliance in the UK. Error Handling: Build a system to flag missing or inconsistent data. Provide actionable feedback for admin to correct inputs before generating the final document. Testing and Validation: Thoroughly test the model to ensure it generates accurate and compliant wills. Validate the outputs against multiple scenarios to cover edge cases. Deployment: Integrate the LLM into our existing system or provide a standalone solution with an intuitive user interface. Deliverables: Fully functional LLM tailored to parse client data and draft compliant wills. Integration with existing client data capture forms and admin note workflows. Predefined Q&A logic implementation for automated drafting. Documentation for the system, including user guide and technical specifications.
opportunity
AI specialist with social media.
I seek a skilled artificial intelligence specialist to develop a sophisticated chatbot for my social media channels. The goal is to provide customers with personalized assistance through conversational interactions. The chatbot should be designed to understand common queries, resolve issues, collect feedback, and identify upselling opportunities. In addition, the chatbot must autonomously search for potential new customers by analyzing user interests and behaviours. It should locate similar accounts across the industry and automatically connect in order to expand the network and discover partnership prospects. Competitive analysis is also important; the chatbot must quietly follow competitor pages unnoticed and report any notable updates, product launches or marketing strategies. Familiarity with major social platforms like Facebook, Twitter and Instagram is essential to ensure seamless integration. Strong coding abilities in Python or similar languages for NLP and machine learning algorithms are expected. Creativity and problem-solving skills will be key to crafting an intelligent virtual assistant that enhances the customer experience and grows my brand presence through artificial intelligence. https://www.instagram.com/p/DBmruNXgZMm/ similar to the link above
opportunity
Develop AI Agent for Automated Legal Case Processing
I'm a lawyer seeking an experienced developer to create an AI agent that can automatically collect, process, and integrate court decisions from Croatian legal websites into our database. The agent should be able to: 1. Scrape data from specific Croatian legal websites, including https://e-oglasna.pravosudje.hr/ 2. Navigate through search interfaces and handle dynamic content 3. Download and process PDF documents containing court decisions 4. Extract relevant information from these documents using NLP techniques 5. Categorize and index the decisions based on predefined legal areas and keywords 6. Integrate the processed information into our existing legal database Required Skills and Experience: - Proficient in Python, with expertise in web scraping libraries (e.g., Scrapy, Selenium) - Experience with PDF processing libraries (e.g., PyPDF2, pdfminer) - Strong background in Natural Language Processing (NLP) using libraries like NLTK or spaCy - Familiarity with database management and indexing (e.g., SQL, Elasticsearch) - Experience in developing AI/ML models for text classification and information extraction - Knowledge of web technologies and ability to handle dynamic content and CAPTCHAs - Understanding of data privacy and security best practices - Ability to work with Croatian language text (knowledge of Croatian is a plus but not mandatory) - Experience with legal documents or similar text-heavy domains is advantageous Deliverables: 1. A fully functional AI agent meeting the above requirements 2. Comprehensive documentation and user guide 3. Source code with clear comments 4. A report detailing the methodology, challenges, and potential improvements Please provide examples of similar projects you've worked on, especially those involving web scraping, PDF processing, or legal document analysis. Include your estimated timeline and budget for this project. Note: The successful candidate must be willing to sign a non-disclosure agreement due to the sensitive nature of legal data.