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More details: What is the primary purpose of logging keystrokes remotely? Employee productivity monitoring Which platforms do you need the LLM AI API hook/stack to support? Linux How would you like to receive the logged keystrokes data? Email notifications

I will be forwarding batches of images—​hand-written pages, printed sheets, even the occasional textbook scan. Your task is to run them through an AI-driven workflow (OCR + clean-up + layout generation) and return a polished, easy-to-read Standard PDF that can double as class-ready teaching material. Here is what I have in mind: every photo you receive is transcribed accurately, formatted into logical sections with clear headings and page numbers, and any inserted diagrams or formulas are redrawn or typeset so they look like they came from a professional study guide. The final file should open on any device without interactive elements or multimedia—just a rock-solid, print-ready PDF. Tools are up to you; feel free to combine Tesseract, Adobe Acrobat, LaTeX, InDesign, or your...

I am building a two–sided mobile marketplace, similar in spirit to Freelancer, where independent professionals can create profiles and clients can post work. Because the platform will handle sensitive projects, every profile, portfolio image, short demo video, and PDF proposal must pass automated compliance checks before it appears live. To make this happen I need a Mumbai-based developer who can deliver a single code-base solution for both iOS and Android. The core of the job is integrating AI that can: • recognise images for restricted content, • scan uploaded videos frame-by-frame for the same, and • parse PDFs to flag non-compliant wording or watermark issues. You should be comfortable connecting to third-party payment gateways, building a lightweight a...

I need an AI-driven chatbot built specifically for customer support on our website. Its main responsibility will be handling technical support questions—everything from first-tier troubleshooting to guiding users toward relevant documentation and, when needed, routing them to a live agent. The API must be of you can choose any model but should use less token to fit in Helyx AI free 100k tokens per day Quota

The Future of Artificial Intelligence in Everyday Life Introduction Artificial Intelligence (AI) has become one of the most transformative technologies of the 21st century. What was once considered science fiction is now an essential part of our daily lives. From virtual assistants and online shopping recommendations to healthcare innovations and self-driving vehicles, AI is changing the way people live, work, and communicate. As technology continues to evolve, AI is expected to become even more integrated into society. Understanding its benefits, challenges, and future potential is essential for individuals and businesses alike. AI in Daily Life Most people interact with AI every day without even realizing it. Voice assistants such as Siri, Google Assistant, and Alexa help users perf...

I am looking for an experienced Transkribus / Handwritten Text Recognition (HTR) specialist to help develop a high-quality transcription model for a large collection of handwritten family diaries. The collection consists of several thousand pages of vineyard and farming diaries from South Australia, spanning approximately 1890–1947. The diaries record daily vineyard work, livestock management, crop planting, weather, visitors, grape varieties, local events and family history. The ultimate goal is to create a reliable transcription model that can be used across the entire collection. Rather than transcribing every page manually, I am seeking someone who can: - Review a representative sample of diaries. - Determine an appropriate training and validation approach. - Train a Transkri...

I'm struggling with getting my AI models to work and deploying my projects. I also have issues with auto-syncing. I need live, beginner-friendly guidance to help me set everything up. Key areas include: - AI model setup - Deployment process - API integration (Vercel, GitHub, Render, MongoDB) Ideal skills and experience: - Experience with AI models - Proficient in deployment processes - Familiar with Vercel, GitHub, Render, MongoDB, and API integrations - Strong communication skills for live guidance

PlatformProject Overview I am seeking a highly experienced AI Agent Architect / Automation Engineer to build an enterprise-grade AI automation platform for my nationwide field services and recruiting companies. This is not a chatbot project. The objective is to design and deploy a modular, production-ready AI agent ecosystem capable of operating 24/7 with minimal human intervention. The system will automate recruiting, resume processing, technician applications, browser automation, email workflows, and intelligent decision-making while keeping long-term operating costs as low as possible. This project has the potential to become a long-term engagement with ongoing enhancements and additional AI agents. Existing InfrastructureNamecheap VPS The following services will be hosted...

We run a content website in the relocation / expat niche (guides on cost of living, visas, health insurance, jobs, and moving abroad) with 350+ published articles. Our technical foundation and content pipeline are already fixed and stable — we now need a specialist to maximize our visibility across both traditional search (Google) and AI answer engines (ChatGPT, Perplexity, Gemini, Google AI Overviews). This is not a report-only project. We want the audit and the hands-on implementation. Important: We care as much about being cited by AI assistants as about ranking on Google. If you only do classic SEO and have never optimized for AI/LLM citation (GEO), this is not the right project for you. Please only apply if you understand both. We have a development team for any code changes &md...

I need a custom-built GPT that can draft high-quality LinkedIn posts for my EdTech company with one clear objective: boost engagement. The model should focus on writing educational articles only, shaping them in a professional, insight-driven voice that positions us as a trusted resource for teachers, trainers, and learning-and-development leaders. Here’s how I picture the workflow: I feed the GPT a short brief—topic, key takeaway, maybe a statistic or two—and it returns a polished post that is ready to publish, complete with an attention-grabbing hook, concise body copy, and a conversation-prompting close. While lead generation and brand awareness matter to us long term, right now the metric that counts is reactions, comments, and saves, so the copy needs to be crafted ...

I need a custom-built GPT that can draft high-quality LinkedIn posts for my EdTech company with one clear objective: boost engagement. The model should focus on writing educational articles only, shaping them in a professional, insight-driven voice that positions us as a trusted resource for teachers, trainers, and learning-and-development leaders. Here’s how I picture the workflow: I feed the GPT a short brief—topic, key takeaway, maybe a statistic or two—and it returns a polished post that is ready to publish, complete with an attention-grabbing hook, concise body copy, and a conversation-prompting close. While lead generation and brand awareness matter to us long term, right now the metric that counts is reactions, comments, and saves, so the copy needs to be crafted ...

I run an on-premise Retrieval-Augmented Generation stack in Riyadh that relies on Qdrant (latest stable) inside a Docker container. Over time I’ve seen clear retrieval regression and semantic drift: passages that once ranked high are now buried, and some queries pull semantically off-target results. The job is fully on-site in Saudi Arabia—our servers are air-gapped—so I need someone already in the country who can sit with the team, dive into the containers, and restore relevance. You will first trace the root cause of the drift (distance metrics, collection parameters, sharding, embedding pipeline or anything else at play). Once pinpointed, you’ll apply a durable fix within the existing Docker-compose setup and then verify the outcome through quantitative testi...

Develop an AI-powered system capable of accurately converting handwritten clinical notes into structured digital text. The solution should leverage advanced handwriting recognition models optimized for medical documentation and automatically generate comprehensive, clinically relevant discharge summaries based on the extracted information. The system should support medical terminology, maintain high transcription accuracy, and integrate seamlessly with hospital workflows and electronic medical record (EMR) systems.

Project Description: Project "OmniHub" Cross-Domain Multimodal AI Consulting Ecosystem with Self-Evolving State 1. Project Overview Project OmniHub is an enterprise-grade, multimodal AI consulting hub designed to deliver expert-level, specialized assistance across various domains including Medicine, Law, Agriculture, Marketing, and Education. Unlike standard chat applications, OmniHub features a fully persistent memory tier (tracking preferences, policies, and facts across sessions) and an autonomous self-learning mechanism. The system processes multimodal inputs (Voice, Images, and Video) and orchestrates specialized domain agents via a unified context framework. 2. Core Operational Pillars The platform adapts its operational logic depending on the chosen specialized vertical:...

**Project FRIDAY – Seeking AI Engineer to Help Design an AI Wearable Assistant MVP** **Project Overview** I'm the founder of **Project FRIDAY**, an early-stage AI wearable assistant focused on improving independence for blind and visually impaired people. Our goal is to build a hands-free AI assistant that combines computer vision, speech recognition, natural language understanding, and voice guidance to help users: * Detect and identify nearby objects * Read signs, labels, and documents aloud * Answer questions about their surroundings * Provide basic navigation assistance * Continue functioning with limited internet connectivity through an edge-first AI architecture We recently received feedback from a startup pitch encouraging us to narrow the MVP, so our current focus i...