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My e-commerce site already holds every product record in a MongoDB cluster, and I now want a Retrieval-Augmented Generation (RAG) layer that can pull that data on-demand for search, chat, and merchandising features. Here’s what I need built: • A lightweight service (Python preferred; open to Node.js) that connects securely to the existing MongoDB collection and exposes a clean retrieval interface. • An embedding/indexing routine so product documents can be vectorised and queried efficiently (e.g., with FAISS, Pinecone, or a native MongoDB Atlas Vector Search). • RAG pipeline logic that combines the retrieved product fields with a language model prompt to produce rich, real-time answers. • Environment configuration and clear instructions so I can run, exten...

I have a dataset of Swedish-language social media posts that must be annotated for sentiment. Every line of text needs a clear label—positive, negative or neutral—so that I can train and benchmark a new classifier. You will work inside my web-based annotation tool (Label Studio is already set up) and follow the short guideline document I supply. Native-level Swedish comprehension is essential because the posts contain slang, emojis and informal grammar. Deliverables • Completed annotations for all assigned posts, exported as CSV or JSON from the tool • A brief log noting tricky examples or guideline ambiguities you encounter Acceptance criteria • At least 95 % inter-annotator agreement on the overlap set I provide for quality checks • No empty o...

I need a robust yet lightweight solution that continuously gathers two kinds of information—user comments & posts and the hashtags or topic trends that surround them—so I can run reliable sentiment analysis afterwards. The sources in scope are Facebook, Twitter (X), Instagram, YouTube and Snapchat, both recent activity and a defined slice of historical data where accessible. Here is what will make the project a success for me: • A scraper or API-based pipeline (Python preferred, but I am open to Node or R) that respects each platform’s rate limits and terms of service • Clean, deduplicated output in CSV or JSON with at least these fields: platform, date/time, raw text, hashtag list, basic engagement numbers, and an anonymised user ID • Simple conf...

I need a skilled tech writer who can turn the latest breakthroughs in Artificial Intelligence—specifically Machine Learning—into clear, insightful technology reviews. Your work will help me keep my audience reliably informed, so each review should balance technical accuracy with readable, engaging language. I’m particularly interested in: • Practical evaluations of new ML frameworks, libraries, and tools • Performance comparisons against earlier versions or competing solutions • Real-world use-case highlights and potential business impact • Concise “pros, cons, and verdict” summaries that busy readers can scan quickly If you’re comfortable branching into adjacent AI areas such as NLP or Computer Vision—or even wide...

I need a set of everyday, conversational materials converted both ways between Hindi and English. Some files are short audio clips, others are casual chat extracts; all must first be transcribed verbatim in the source language and then rendered into a clear, natural-sounding translation. Accuracy, tone, and cultural nuance are vital—even though the subject matter is light, I want the finished text to read as if it were originally spoken in the target language. Time-stamping any audio will help me cross-check sections quickly. Deliverables • Clean source-language transcript (Hindi or English as received) • Side-by-side translation in the opposite language • Editable document (Word or Google Doc) with timestamps for audio content Quality is more important than s...

I'm looking for a freelancer to optimize my Freelancer.com profile, tailoring it to focus on beginner-friendly, high-demand services with these key aspects: 1. **Headline**: A professional and engaging headline to reflect my expertise in AI-powered tools, data entry, virtual assistance, web research, and admin support. 2. **Summary & Skills**: Prioritizing beginner-focused, high-demand services like: - AI-powered Virtual Assistance - Data Entry - Web Research - Lead Generation - Data Collection - Excel & Google Sheets - Copy-Paste Tasks - PDF Conversion - Email Management - Chat Support (Highlighting productivity improvement using AI tools over development work.) 3. **Visuals**: Recommendations for a clean, modern, and minimalist profile photo and cover image with an AI an...

I need a reliable contributor who can gather English-language text from Facebook and package it into a clean, well-structured dataset that can be used for downstream AI/NLP experimentation. The assignment is exclusively text-based; no images, audio, or mixed-media assets are required. Scope of work You will capture publicly available posts and their associated comments coming from Facebook pages or groups that allow legal, compliant scraping. Content must be written in English and sourced directly from the platform—no third-party aggregators. I am interested in a broad topical spread rather than a single niche so the final corpus reflects natural, everyday language as it appears in social media. Compliance & privacy All data has to be collected in accordance with Facebook&r...

I'm looking for a skilled developer to create an AI chatbot. The chatbot's primary function, platform integration, and interaction type are to be determined. Ideal Skills and Experience: - Expertise in AI and machine learning - Experience developing chatbots for various platforms - Proficiency in natural language processing - Ability to integrate with websites, mobile apps, and social media - Strong coding skills, preferably in Python or JavaScript - Previous experience in customer support automation Please provide examples of your past work and a brief outline of your approach to this project.

I’m ready to move from concept to production with an AI-driven system that combines natural language processing, predictive analytics and a set of custom-built models. The high-level goal is to ingest varied data sources, understand text at scale, uncover actionable patterns and expose the results through clean, well-documented APIs that my in-house developers can extend. Here’s what I need from you: • Model design and training – choose the right architecture (transformer, LSTM, hybrid, etc.) and justify it in a brief technical note. • End-to-end NLP pipeline – data cleaning, tokenisation, entity extraction and sentiment or intent classification. • Predictive layer – supervised or unsupervised techniques that surface trends and generate fo...

I need a concise Python project that takes the metrics Azure AI Foundry exposes for each Natural Language Processing agent I deploy and converts them into a clear carbon-emission figure per agent. Context • The agents handle Text data only and are limited to a Text classification workload. • Everything runs on Azure AI Foundry, so the solution must tap into the standard monitoring endpoints or logs that expose runtime details such as vCPU/GPU minutes, memory usage, region and uptime. Scope of work 1. Collect the relevant utilisation statistics programmatically (Azure SDK or REST). 2. Translate those numbers into kWh consumed and CO₂ equivalent using accepted carbon-intensity factors for the Azure region in use (the Azure Sustainability API or any peer-reviewed dataset i...

I am fine-tuning an AI system that uses retrieval-augmented generation to turn uploaded source documents into polished SDD (Software Design Description) sections. The current YAML prompt set is drifting: I see hallucination in the output—mostly content that the model half-understands or slightly twists rather than outright fabricates—and that small inaccuracy snowballs into wrong field mappings and cluttered tables. Your main mission is to open the existing prompt files, compare them line-by-line with the business template, and tighten the instructions so the model only returns evidence-based facts. Template alignment is the area that clearly needs the most love, yet the retrieval and synthesis rules also deserve a second look to be sure we are not hard-coding project-specif...

I want to automate the entire flow of finding, rewriting, and posting breaking stories in my niche WordPress newsroom. The system needs to: • Continuously watch both Google News and selected RSS feeds for fresh headlines that match a keyword list I will supply. • Pull the full-text of each candidate story, strip boilerplate, and hand it to an LLM (GPT-4o, Claude, or similar) to rewrite with a clear, human editorial touch—no robotic phrasing, no plagiarism. • Automatically add an introductory line that credits the original outlet before the body copy begins. • Push the finished piece to WordPress through the REST API, setting the post to Draft or Publish based on a simple flag in the configuration. Ideal workflow: lightweight Python (or Node) microservice...

I need a lightweight, secure application that can listen to both sides of my life-insurance sales calls, transcribe them in real time, and drop only the relevant facts into a structured worksheet on-screen. While the caller is still speaking, the system should automatically recognise and populate fields such as full name, date of birth, address, phone number, current medications and medical conditions. Key behaviour • Ignore small talk and fillers; capture only what belongs on the application. • If the caller corrects a detail (“actually, my phone is 555-0199”), the field must update instantly. • Anything that sounds uncertain—uncommon drug names, hard-to-spell surnames, email addresses, partial street names—should be highlighted or flagged s...

I’m running a systematic investigation into how prompt phrasing influences in-context regression performance. The work spans six separate axes, and for this engagement I want you to concentrate on two of them—Data preprocessing and Evaluation metrics—while keeping the other axes in mind so our findings remain extensible. The core set-up centres on text-based prompts only; no visual or multimodal inputs will appear in this round. All experiments will target polynomial regression tasks, so the prompts, data splits, and metric choices should reflect the non-linear nature of the underlying relationships. Here is what I need from you: • Curate or generate a clean, well-documented dataset suitable for polynomial regression, then outline the preprocessing steps you apply...