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Our team wants to automate first-line customer care with an AI-powered chatbot. The goal is to let visitors ask questions in natural language and receive accurate, friendly answers pulled from our existing FAQ, product manuals, and order-status API. When the bot cannot solve an issue, it should hand the conversation off to a live agent without losing context. Core expectations • Natural-language understanding and intent detection that recognises spelling mistakes and informal phrasing. • Easy-to-update knowledge base so our staff can add or edit answers without touching code. • Secure integration with our REST order-tracking endpoint for real-time shipping or billing queries. • Full conversation logs available in a dashboard for training and analytics. •...

I want to streamline my customer support on WhatsApp by automating answers to frequently asked questions. The goal is to deploy an AI-powered chatbot that greets users, interprets their queries, and serves up clear, accurate replies around the clock. Key objectives • Integrate the bot seamlessly with my existing WhatsApp Business account (official API or an approved provider). • Train it on my FAQ content so it can recognise common requests and respond in natural language. • Allow me to update or expand the knowledge base without coding. • Log each conversation so I can review chat history and refine answers. • Fail-safe handover: if the bot cannot resolve an issue, it should route the chat to a live agent. Preferred approach I’m focused on an AI-po...

I’m ready to host an open-source language model on my own Linux box and need an expert to guide me through every step. I’m currently leaning toward Llama, with text generation as the primary use case, but I’m open to your professional advice if another model proves clearly superior. Scope of work • Recommend the best open-source LLM variant for my goals. • Install and configure the model on my Linux server (SSH access provided). • Detail exact hardware requirements and performance expectations. • Walk me through basic prompting so I can see it running in real time. • Explain Retrieval-Augmented Generation (knowledge-base integration) and show a simple example. • Cover built-in and add-on translation capabilities. • Outline...

I am looking for a skilled developer to enhance my real estate homepage with AI-driven functionalities. The project involves automating the property listing process, including data entry and upload, image processing and tagging, as well as property description writing. Additionally, I need a matchmaking system to connect buyers with suitable properties and sellers with agents. Ideal candidates should have experience with AI development, natural language processing, image recognition, and recommendation systems tailored for the real estate industry.

I'm seeking an AI chatbot, powered by Llama, to be deployed on my website. This chatbot should be trained specifically on Malaysian employment law using data from government websites. The chatbot will need to handle the following tasks: - Answering general inquiries about employment law. - Providing legal advice based on user inputs. - Offering resources and links to legal documents. Ideal Skills and Experience: - Experience in AI development, particularly with Llama or similar models. - Familiarity with Malaysian employment law. - Ability to integrate the chatbot into a website. - Strong background in natural language processing and understanding user inputs. Please provide examples of similar work done and a timeline for completion.

ทางบริษัท DataForce by TransPerfect กำลังมองหาผู้เข้าร่วมโครงการเก็บข้อมูลเสียงผ่านระบบออนไลน์ เพื่อนำไปใช้ในการพัฒนาเทคโนโลยีจำลองเสียง รายละเอียดโครงการ โครงการนี้มีวัตถุประสงค์เพื่อบันทึกเสียงพูดภาษาไทยในรูปแบบของ "ข้อความเสียง (Voicemail)" ซึ่งข้อมูลดังกล่าวจะถูกนำไปใช้ในการพัฒนาและปรับปรุงเทคโนโลยีการจดจำเสียง (Voice Recognition) สำหรับระบบผู้ช่วยเสมือนจริง (Virtual Assistants) ให้มีประสิทธิภาพดียิ่งขึ้น ลักษณะงาน คุณจะต้องบันทึกข้อความเสียงสั้นๆ จำนวน 20 ข้อความ โดยพูดตามสถานการณ์ ต่างๆ ที่เรากำหนดไว้ให้ คุณสมบัติผู้สมัคร หากคุณสนใจเข้าร่วม โครงการนี้มีเงื่อนไขและเกณฑ์การคัดเลือกดังนี้: -สามารถพูดภาษาไทยได้อย่างเป็นธรรมชาติ (ระดับเจ้าของภาษา) -ต้องพำนักอยู่ในประเทศไทยเท่านั้น -ต้องใช้ iPhone รุ่น XR ขึ้นไป หรือรุ่นที่ใหม่กว่า โดยระบบปฏิบัติการต้องเป็นเวอร์ชันล่...

I run my voice agent inside Go High Level and orchestrate most of my automations through Make .com. The piece I am missing is a clean, reliable bridge to the UK Government’s MOT History REST API. I already hold the production credentials; what I need is the actual integration logic: • When a caller gives their number plate, the voice agent should pass that plate to a Make .com scenario (or another secure webhook you propose). • Your script must call the government REST endpoint, handle the authentication header, query parameters, and rate limits, then parse the JSON response. • Key details—latest MOT expiry date, pass/fail status, advisories—must be returned to the agent in natural-language form so the caller hears the result immediately. • At t...

I want Clauld AI Mythos to evolve into a smart, text-driven analytics engine. Its sole focus is data analysis, extracting insights, patterns, and trends from large volumes of text—think natural-language processing, topic modelling, entity recognition, and sentiment breakdowns that decision-makers can act on. Here’s how I picture the workflow: 1. Ingest raw text through a clean, modular pipeline (API or batch upload is fine). 2. Process the corpus with Python and state-of-the-art NLP libraries—spaCy, HuggingFace Transformers, or similar—so the architecture remains future-proof. 3. Generate clear, exportable outputs: interactive dashboards (Streamlit or Dash are welcome), concise PDF/CSV summaries, and machine-readable JSON for downstream use. Acceptance crit...

I need a WhatsApp-based AI system that takes over three daily pain-points at my school: distributing timely notifications, answering routine questions, and helping with light administrative chores. Students, parents, and staff will all interact with it, so the bot must recognise who is writing and then act accordingly—sending each person only the information that fits their role. For notifications, I want individual messages, not bulk blasts. A parent should receive fee reminders and event updates, a student gets timetable changes, while staff receive internal alerts. The same identity awareness should guide the FAQ module; the answer to “What time does school start?” may be different for teachers on duty than for learners. Key expectations • Integration with the o...

# Job Description: LLM Data Scientist / AI Engineer – Agentic AI & RAG ## Employment Type Full-time 3 -12 months depending on performance Rs 20k/month ## Role Overview We are hiring an LLM Data Scientist / AI Engineer to help build advanced AI products using Large Language Models, Retrieval-Augmented Generation, agentic AI workflows, and applied machine learning. This role is ideal for someone who can combine strong data science skills with hands-on engineering ability to design, evaluate, and deploy intelligent AI systems. The candidate will work on building AI agents, RAG pipelines, model evaluation frameworks, prompt optimization, fine-tuning workflows, and production-ready LLM applications. ## Key Responsibilities * Design, build, and improve LLM-powered app...

I am building an AI-driven tool that can draft a full range of Pakistani legal documents—lawsuits, applications, appeals and more—while automatically sourcing, citing and applying the relevant statutes, rules and case-law published on official government websites. Scope of law The engine must work across Criminal Law, Civil Law and Corporate Law. Whenever I supply a fact pattern or fill out a guided questionnaire, the system should pull the appropriate provisions, weave them into a well-structured pleading and flag any missing information it still needs. Interactive legal Q&A In addition to document generation, the same knowledge base should power a question-and-answer feature that returns clear, reference-backed advice both as text and as synthesized voice. A user ...

I want an AI-driven outbound calls voice agent built entirely in n8n that focuses on sales assistance. Its single, clear function is to listen to callers, understand their needs, and provide real-time product recommendations back to them through natural-sounding voice responses. Scope of work • Design and implement the complete n8n workflow, including all decision nodes, data look-ups, and text-to-speech steps that turn caller intent into spoken product suggestions. • Connect the flow to my existing product catalog (JSON or REST API—whichever you find cleaner) so recommendations always pull live stock, pricing, and short descriptions. • Integrate a telephony layer that hands calls to n8n, passes the transcript into the workflow, and returns the synthesized reply t...

I have a ten-page source text that I need converted into 384-dimension embeddings and stored in a vector database so I can run fast semantic queries against it. After that, I want Claude Sonnet 3.5 deployed in my AWS account (EC2 or an equivalent managed service is fine) and wired up to those embeddings so that users can chat in plain text and receive interactive language-learning guidance based on the content. Here is the workflow I have in mind: • Generate 384-dimensional embeddings for the entire document, verify their quality, and load them into a persistent vector store (Pinecone, Amazon Kendra, or Faiss—whichever you prefer and can justify). • Spin up Claude Sonnet 3.5 in AWS and expose it through a simple web front end or an API endpoint; no voice features are re...

I have a ten-page source text that I need converted into 384-dimension embeddings and stored in a vector database so I can run fast semantic queries against it. After that, I want Claude Sonnet 3.5 deployed in my AWS account (EC2 or an equivalent managed service is fine) and wired up to those embeddings so that users can chat in plain text and receive interactive language-learning guidance based on the content. Here is the workflow I have in mind: • Generate 384-dimensional embeddings for the entire document, verify their quality, and load them into a persistent vector store (Pinecone, Amazon Kendra, or Faiss—whichever you prefer and can justify). • Spin up Claude Sonnet 3.5 in AWS and expose it through a simple web front end or an API endpoint; no voice features are re...

Project Title: AI-Powered Personal Assistant for Phone Calls and Appointment Booking (Accessibility-Focused) I am looking for a developer (or small team) to build a mobile application acting as a personal AI assistant. Goal The assistant should be able to make phone calls on my behalf, interact with the person on the other end, and book appointments according to my preferences. User Profile The application should store and remember a personal profile, including: Disability: Ataxia/ Multiple Sclerosis (MS)/Stroke survivors People with speech impairments People with mobility disabilities Wheelchair user Preferred appointment times (morning preferred) Contact information Other personal preferences and accessibility requirements Example Scenario I tell the assistant: "Call this d...

Multilingual Voice Recording Project – Code-Switching Conversations Project Name: BV Project Type: Remote | Ongoing (Limited Slots per Locale) Project Overview Project BV is a multilingual speech data collection initiative designed to enhance Automatic Speech Recognition (ASR) systems for high-value multilingual call center scenarios, including financial services, healthcare, and telecommunications. The project focuses on collecting natural code-switching conversational audio, where speakers alternate between two languages within a single conversational turn. Scripts will be provided; however, natural delivery, fluency, and context-appropriate language switching are essential. Language Requirements Primary Language (Native level – one required): European French ...

Multilingual Voice Recording Project – Code-Switching Conversations Project Name: BV Project Type: Remote | Ongoing (Limited Slots per Locale) Project Overview Project BV is a multilingual speech data collection initiative designed to enhance Automatic Speech Recognition (ASR) systems for high-value multilingual call center scenarios, including financial services, healthcare, and telecommunications. The project focuses on collecting natural code-switching conversational audio, where speakers alternate between two languages within a single conversational turn. Scripts will be provided; however, natural delivery, fluency, and context-appropriate language switching are essential. Language Requirements Primary Language (Native level – one required): Swedish (sv-SE) ...

Multilingual Voice Recording Project – Code-Switching Conversations Project Name: BV Project Type: Remote | Ongoing (Limited Slots per Locale) Project Overview Project BV is a multilingual speech data collection initiative designed to enhance Automatic Speech Recognition (ASR) systems for high-value multilingual call center scenarios, including financial services, healthcare, and telecommunications. The project focuses on collecting natural code-switching conversational audio, where speakers alternate between two languages within a single conversational turn. Scripts will be provided; however, natural delivery, fluency, and context-appropriate language switching are essential. Language Requirements Primary Language (Native level – one required): Dutch (nl-NL) ...

Multilingual Voice Recording Project – Code-Switching Conversations Project Name: BV Project Type: Remote | Ongoing (Limited Slots per Locale) Project Overview Project BV is a multilingual speech data collection initiative designed to enhance Automatic Speech Recognition (ASR) systems for high-value multilingual call center scenarios, including financial services, healthcare, and telecommunications. The project focuses on collecting natural code-switching conversational audio, where speakers alternate between two languages within a single conversational turn. Scripts will be provided; however, natural delivery, fluency, and context-appropriate language switching are essential. Language Requirements Primary Language (Native level – one required): European French ...

Multilingual Voice Recording Project – Code-Switching Conversations Project Name: BV Project Type: Remote | Ongoing (Limited Slots per Locale) Project Overview Project BV is a multilingual speech data collection initiative designed to enhance Automatic Speech Recognition (ASR) systems for high-value multilingual call center scenarios, including financial services, healthcare, and telecommunications. The project focuses on collecting natural code-switching conversational audio, where speakers alternate between two languages within a single conversational turn. Scripts will be provided; however, natural delivery, fluency, and context-appropriate language switching are essential. Language Requirements Primary Language (Native level – one required): Brazilian Portuguese (pt-BR)...

Needs to hire 50 Freelancers Summary About the Project: We are looking for native English speakers from the United States to participate in an exciting AI training project aimed at enhancing voice recognition and natural speech technologies. Participants will record a set of scripted sentences and conversational prompts using their natural voice in a quiet environment. Responsibilities: Record high-quality audio as per the given script and project guidelines. Maintain consistent tone, clarity, and pronunciation throughout the recordings. Follow all instructions regarding audio setup, noise levels, and file submission. Requirements: Must be a native U.S. English speaker. Clear and natural speaking voice with good diction. Access to a quiet environment, a recording device with a go...