Nlp jobs

...proficiency and native-level fluency in US English, with a strong understanding of contemporary spoken language, grammar, spelling, punctuation, regional variations, and colloquial expressions. Ideal candidates have experience in transcription, subtitling, speech annotation, linguistic data projects, ASR evaluation, or language quality assurance, with backgrounds in linguistics, computational linguistics, NLP, phonetics, or related fields preferred. Strong attention to detail, analytical skills, the ability to interpret complex guidelines, and a reliable computer, internet connection, and headphones are required. Payrate for this task is $19.8/hr for transcription and $39.6 for linguists. If you are interested, please complete this form: *Payment for this project

...current chatbot lives inside a React single-page web app and handles only rule-based replies. I want to replace that brittle logic with KIMI K3’s Natural Language Processing so users can type free-form questions and receive context-aware answers. Scope • Wire the KIMI K3 SDK or API into the existing React component that manages the chat window. • Route every incoming user message through K3’s NLP engine, then return the parsed intent and generated response back to the UI without noticeable delay. • Preserve my current session handling, user authentication and message history. • Keep the code modular so that I can later toggle on K3’s voice recognition or speech synthesis if needed. Tech details The project is all browser-side Reac...

I am seeking a skilled professional to develop an AI voice agent tailored to meet specific business requirements. The solution will include integration capabilities and model training to ensure optimal functionality. Key Requirements: - Develop an AI Agent capable of handling voice-based interactions...existing applications and systems. - Provide a mechanism for model training and subsequent iterations. Expected agent features: - Efficiently process and respond to natural language inputs. - Support for multiple AI model types such as regression and classification. - Deliver results with a minimum of 99% accuracy. AI Agent Prompt: Appropriate model generation such as regression, classification, NLP, CNN, and so on based on the data available and get the model ready to deploy with 99%...

...scikit-learn / spaCy / NLTK) or another open-source stack is fine as long as I can rerun it locally. Acceptance criteria 1. Script/notebook that ingests my data and produces sentiment labels. 2. Reusable visualization (e.g., Plotly, , D3) styled to match a modern website. 3. Brief README explaining setup, model choices and how to update the visuals with new data. If you have a preferred NLP library or an idea for a slick front-end integration, let me know in your proposal....

I need to build an AI power Business Intelligence platform with dashboard-style SaaS with analytics, NLP querying, conversational analytics, and forecasting. Need a seamless platform which breakdown silos for my clients in the automotive vertical, mainly car dealerships who weave in and out of 10-15 platforms. Need a platform the easily connects with APIs and connects to media advertising and CRM and DMS like Tekion, CDK Global, and Reynolds. Three main goals for the SaaS which has a revenue structure of paid monthly subscriptions. 1) Fast daily data updates, easy to use and customizable dashboard interface for users to see KPIs, MoM, YoY for leads, sales, close rates, and toggle between dealers and choose which dimensions to include for metrics like close rate (Option to choose whi...

I’m building a production-grade large-language model for Kurdish, covering both Sorani and Badini, and I need an experienced fine-tuner to guide the technical core of the project. The first milestone is our data pipeline. The dataset structure is critical: I want clearly separated CPT and SFT splits, stored as clean JSONL, with solid deduplication and quality filters baked...Face profile) and who understands Arabic-script or other low-resource languages. Deliverables • Detailed data-pipeline specification with scripts or notebooks • QLoRA training config (model, optimiser, scheduler, eval) plus rationale • Ongoing written or call-based guidance, logged as actionable notes for our engineer If you have the background, especially in low-resource or Arabic-script ...

...back-end panel (or connect to the live-chat tool you prefer) so my support team can monitor, take over chats, view transcripts, and adjust responses. • Configure routing rules, operating hours, and agent notifications. • Provide clear hand-off logic so customers never feel “stuck with a bot.” • Supply concise documentation covering installation, customization, and day-to-day use. I’m open to the NLP stack you’re most comfortable with—Dialogflow, Rasa, Microsoft Bot Framework, or another robust solution—as long as it integrates smoothly with the website and scales as traffic grows. Down the road I may expand its scope to FAQ replies or order/refund processing, so structuring the codebase for future add-ons is a plus. If yo...

...Your job will start with analysing the existing prediction logic, then designing and implementing modifications—whether that means plugging in a new on-device language model, refining the current n-gram pipeline, or introducing lightweight neural-network tweaks that can run efficiently in real time. Kotlin or Java proficiency for the Android input-method framework is essential, and a solid grasp of NLP techniques, TensorFlow Lite (or similar), data handling, and privacy-first personalisation approaches will make the work smoother. Deliverables • Updated Gboard module (source + compiled APK) with measurable accuracy gains against the current baseline. • A repeatable test script or demo app that highlights side-by-side prediction results. • Brief technic...

...responsive web interface. For résumé intake, I want the flexibility to drag-and-drop files, have the system parse attachments arriving in a dedicated mailbox, and pull fresh profiles directly from connected job portals via their APIs. Deliverables 1. Responsive web front-end with dashboard, search, and profile views. 2. Scalable backend (database + search engine) with REST/GraphQL APIs. 3. NLP-powered parsing and categorization module. 4. Secure user management and permission layer. 5. Integrations for manual upload, email parsing, and job-portal APIs. 6. Setup scripts, environment documentation, and a short hand-over session. I’ll handle hosting; just package the solution in Docker or a similarly straightforward deployment format and include a see...

I’m building a Python solution that automatically flags spam in my personal inbox. The pipeline should read raw message text, run it through classic NLP cleaning—then let a Naive Bayes model trained on TF-IDF features decide what is junk and what I actually want to see. I will be working exclusively with publicly available email corpora, so nothing proprietary needs to be handled. Key pre-processing I need implemented: • Tokenization • Stopwords removal • Stemming or lemmatization The stack is already chosen: Scikit-learn, Pandas and NumPy under Python. Once training is complete, I’d like a concise script or notebook that can: 1. Load a fresh batch of .eml or plaintext messages. 2. Output a CSV (or similar) labeling each as spam or ham....

...technical support conversations from first “hello” through problem resolution. The goal is full customer-service automation, so the bot should recognise common product issues, walk users through troubleshooting steps, and seamlessly escalate anything it cannot solve to our live team with a complete transcript. Here’s what success looks like to me: • A natural-language flow built with a robust NLP framework such as Dialogflow, Rasa, or IBM Watson, trained on our existing knowledge-base articles and past ticket logs. • Web widget integration that matches our branding and runs smoothly on desktop and mobile. • Real-time hand-off to Zendesk (or a lightweight ticketing API you recommend) whenever confidence drops below a defined threshold, plus ...

...blends natural conversation, real-time insights, and intelligent automation into a single web & mobile experience. The roadmap is clear, the market niche is validated, and I’m now ready to turn the concept into an MVP and beyond alongside a technical cofounder who brings deep expertise in AI. Core vision The product centres on three pillars: seamless user interaction and support through robust NLP, data analysis with intuitive visualisation, and automated decision-making that genuinely helps everyday users, not just enterprises. Under the hood we will combine Natural Language Processing, Computer Vision where it adds tangible value (e.g. image-based recommendations), and classic plus deep Machine Learning models to personalise outcomes. Where help is needed I’m ...

...Open-source or locally runnable models are fine; cloud subscriptions are not. Core flow • LiveKit delivers the audio track in real time. • Your pipeline converts speech to text, keeps multi-turn context, and routes it through an NLP layer capable of understanding intent and maintaining conversation state. • The agent then generates the textual reply that my existing interface will present. (I do not need text-to-speech for this phase.) What I will review as deliverables 1. Docker-compose (or similar) scripts that spin up the LiveKit server plus your speech-to-text and NLP services. 2. Source code with clear README showing how audio frames are captured from LiveKit, transcribed, and processed for contextual responses. 3. A sample conversation de...

I need a Telegram bot for customer service. The bot's main function is to assist customers. Key requirements: - Handle customer inquiries - Provide order updates - Offer account information Ideal skills and experience: - Proficiency in Telegram bot development - Experience in integrating customer service functionalities - Familiarity with natural language processing (NLP) is a plus - Strong problem-solving skills Please provide examples of previous work.

I’m building a web feature that can read whatever a visitor types into the site’s chat box, gauge their emotional tone through text-analysis NLP, and immediately queue up music that matches or lifts that mood. Here’s the flow I have in mind. The user interacts with the live-chat on our site. Every message is piped to your classifier, which returns a mood label or valence/arousal scores. Based on that output, the system picks an appropriate track or playlist from a streaming service (Spotify or a royalty-free catalogue—whichever is easier to wire up first) and starts playback without noticeable delay. I’m set on text analysis as the detection method; no facial or voice inputs are needed right now. Likewise, I don’t need social-media or email min...

I’m at the very beginning of turning a fresh Natural...• A structured related-work section drafted and ready to drop into the manuscript • Guidance on organising preliminary results so they align with the storyline we craft together If you’ve successfully shepherded NLP papers from idea to publication—searching, synthesising, and citing with ease in tools like Zotero, Mendeley, Overleaf, or LaTeX—let’s collaborate. Once the literature foundation is in place, I’d like to keep working together through methodology refinement and final submission, so there’s room for an extended engagement. Please share a brief note on comparable NLP papers you’ve co-authored or edited, and let me know your typical turnaround for an in...

We are seeking a team to oversee the development and refinement of an Intelligent Wine Platform that unifies B2B wholesale procurement with an advanced, personalised consumer storefront. In this role, you will architect an operational data flow that ingests smart manifests and integrates data alignment from external market APIs / scraping, alongside text-sentiment NLP feedback overlays. You will own the core algorithmic matching logic—utilising a normalizsd Euclidean distance formula to power a vector database of precise user profiles—which drives features like dynamic visual match percentages, "Palate Stretch" discovery overrides, and automated CRM marketing segmentations. Additionally, you will be responsible for technical execution across two primary zones: ...

...can maintain the codebase. Deliverable passes when the assistant can correctly answer at least 80 % of the supplied test set and fall back to a human hand-off within three seconds in ambiguous cases. Preferred stack is Python (FastAPI) or Node.js for the backend and React Native or Flutter for the client, but I’m open if you can justify another toolkit. Experience with OpenAI, Rasa, or similar NLP frameworks will be highly valued. If this sounds like your wheelhouse, let’s get started....

...training documents. • Create quizes, or downloadable PDFs in the users chosen language • Interpret a user’s intent, pull the correct data, and reply conversationally in clear English. • Maintain context across a session, hand off to a human seamlessly when confidence drops, and log the full conversation for analytics. You are free to build with Dialogflow, Rasa, LangChain, OpenAI, or a comparable NLP framework as long as you can deploy it to our existing platform (JavaScript - SEEDL) and expose a REST hook for our website. Users will access this predominantly on a desktop device. Acceptance criteria • Accurate answers for at least 90 % of the top 100 support queries we will supply. • Response time under two seconds on a standard AWS inst...

I need a hate speech detection code implemented using BERT embeddings and Graph Attention Networks (GAT). The data source will be forum comments. The model must achieve high accuracy. Requirements: - Implement hate speech detection using GAT - Utilize BERT for word e...detection code implemented using BERT embeddings and Graph Attention Networks (GAT). The data source will be forum comments. The model must achieve high accuracy. Requirements: - Implement hate speech detection using GAT - Utilize BERT for word embeddings - Source data from forum comments - High accuracy in detection is essential Ideal Skills: - Experience with BERT and GAT - Strong background in NLP and machine learning - Proficient in handling and processing forum comment data - Ability to optimize models for hig...

Start your proposal with the word "MOSHI-SPEED". If you don't, your bid will be automatically deleted as a bot response. We are looking for a Senior ML/AI Engineer to fine-tune our voice assistant built on the Moshi / PersonaPlex streaming audio architecture. The goal is to extend the model to support Russian + Uzbek (Latin/Cyrillic) while maintaining zero-latency native switching. What is already done: All datasets (instruction/dialogue formats) are fully prepared, cleaned, and ready for training. No data collection or labeling is required. Scope of Work: Tokenizer Audit & Extension: Optimize the tokenizer for the Uzbek language (both scripts). SFT Fine-Tuning: Apply LoRA/QLoRA adjustments using the provided datasets. Crucially, updates must change weights without...

I need an AI developer specializing in Natural Language Processing to create a voice cloner and voice changer. This tool will be integrated into a mobile app. Key Requirements: - Develop voice cloning and changing capabilities - Seamless integration with mobile platforms - Ensure high-quality, realistic voice outputs Ideal Skills and Experience: - Expertise in NLP and voice synthesis - Experience with mobile app development - Strong programming skills in relevant AI frameworks Looking for a candidate who can deliver a high-quality, reliable solution within budget.

... Governance-by-Design: Implement strict data quality checks, metadata tagging, and end-to-end lineage tracking in compliance with enterprise data governance and industry data regulations. Required Qualifications & Skills Experience: * 10+ years in Data Engineering. * 3+ years focused specifically on AI/ML data pipelines. * Hands-on experience deploying Generative AI projects (such as NLP, RAG, chatbots, or LLM fine-tuning). Technical Stack: Languages & Frameworks: Python, SQL, Spark. Cloud & Data Platforms: AWS (Glue, S3, Lambda) and Snowflake (Snowpark, Container Services, Cortex). * Data Management & Integration: Informatica IDMC / IICS. * AI/ML Concepts: Vector databases, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), an...

...deployment * Model monitoring * Experiment tracking * Feature stores * GPU inference optimization * REST APIs (FastAPI preferred) Cloud experience with at least one platform: * AWS * Google Cloud Platform * Microsoft Azure --- ## Nice to Have * Deep Learning (PyTorch or TensorFlow) * Fine-tuning LLMs (LoRA/QLoRA/PEFT) * Distributed training * Knowledge Graphs / GraphRAG * Computer Vision or NLP experience * Reinforcement Learning * Streaming data pipelines (Kafka, Pub/Sub) * Airflow or similar orchestration tools * Experience building AI agents for enterprise applications --- ## What We're Looking For The ideal candidate is: * Strong in both classical Machine Learning and modern Generative AI * Comfortable owning projects from research through production * Experienc...

**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...

...The core functions I need are: • Accurate data extraction from those three file types • Concise English-language summaries generated on demand • Reliable keyword and phrase identification that feeds a searchable index Everything will run in English for now, so no multilingual processing is required. I’m open to whichever stack you prefer—Python, Node, or another language—as long as modern NLP libraries (think PyPDF, docx, pandas, spaCy, transformers, LangChain, etc.) are used cleanly and the code is well-commented. Here’s how I picture the workflow: I upload a document or folder, the system parses each file, stores the structured output in a database or vector store, and exposes a simple interface (CLI, web dashboard, or API endpoint)...

I’m refining an AI module that powers a heads-up, visually oriented interface. The core engine is Natural Language Processing, yet right now its intent detection and response generation drift off-target too often. I need your help to push raw and benchmarked accuracy noticeably higher without sac...Deliverables: • Refactored or newly trained model files ready for production • Updated inference script compatible with the HUD’s API endpoints • A short report comparing pre- and post-improvement accuracy on the supplied validation set (precision, recall, F1) • Quick-start notes so my front-end team can pull the new endpoints straight into the interface If you’ve lifted accuracy in similar NLP deployments—especially ones coupled with...

I want to replace the manual prospecting we do today with a fully automated, AI-driven lead generation and qualification engine aimed at builders and architects who buy our products. The core objective is...data-backed rules to qualify each lead in real-time—no human triage—flagging the ones that match our ideal builder/architect profile. • A concise dashboard or daily report so my team can act on qualified opportunities without sifting through raw data. • All code, trained models and step-by-step documentation so we can maintain or expand the system later. If you have hands-on experience with NLP, machine learning, CRM APIs and marketing automation tools, you’ll feel right at home here. Let’s discuss your approach and how quickly you can have ...

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... but I’m open to alternatives that achieve equal performance. For the AI layer, feel free to propose TensorFlow Lite, Core ML, or a managed cloud service; low latency and a clear training/inference pipeline matter most. Deliverables • Universal iOS/Android app source code with build scripts • Audited Binance Smart Chain contracts and deployment scripts • Integrated AI models (predictive, NLP, image) with documented pipelines • Unit and integration tests covering blockchain and AI modules • Setup guide plus a short screen-recorded walkthrough of the app running on real devices Acceptance criteria: the beta build installs from TestFlight and Google Play Console, creates a wallet, executes a token transfer on the BSC testnet, returns mean...

...otherwise stay hidden in lengthy reports, regulations, and policy papers. Core requirements • End-to-end text pipeline: ingestion (PDF, DOCX, plain text), preprocessing, language detection if needed, tokenisation, stop-word removal, and lemmatisation. • Exploratory analysis and visual summaries: word-frequency plots, topic trends over time, and sentiment distribution where relevant. • Advanced NLP: named-entity recognition, key-phrase extraction, and topic modelling (LDA or BERTopic). • Result delivery: a concise written report plus reusable Python notebooks/scripts and clearly commented source code, ready to run on my local environment (Python 3.10, pandas, spaCy, scikit-learn, PyTorch/Transformers as appropriate). Acceptance criteria 1. The p...

I need an advanced calling bot for the dental industry. The bot should handle: Appointment Scheduling Customer Reminders Informational Inquiries Communication Channels: Phone Calls Text Messages Emails Interaction Level: Advanced AI with natural language processing for contextual responses Ideal Skills: Expertise in AI and NLP Experience in building multi-channel communication bots Background in customer service automation Knowledge in the dental industry is a plus Looking for a developer who can create a knowledgeable, conversational bot to enhance customer interaction and streamline operations.

...user interactions through automated, intelligent, and responsive communication. Key Requirements: - Develop a robust AI Voice Agent capable of understanding and responding to user inputs in real-time. - Ensure 24/7 operational availability for seamless accessibility. - Integrate a user-friendly interface for easy customization and updates. Expected Agent Features: - Natural Language Processing (NLP) for accurate context understanding. - Multi-language support to cater to diverse user demographics. - Secure data handling and compliance with relevant regulations. AI Agent Prompt: أحتاج إلى تصميم لوحة إعلانية مميزة تركّز بشكل أساسي على ترويج منتج أو خدمة. سأشارك معك شعار الجهة والألوان المعتمدة فور بدء العمل، بينما أنت تتولّى ابتكار الفكرة البصرية وصياغة العبارة الجاذبة التي تشد ...

I need an AI-powered customer support agent designed and deployed for my company. The AI agent will primarily assist customers by answering FAQs, live chatting with them, and handling complaints. Key Requirements: - The AI agent should be able to integr...complaints. Key Requirements: - The AI agent should be able to integrate with our website. - The AI should be capable of answering FAQs, engaging in live chat, and handling customer complaints. Ideal Skills and Experience: - Expertise in AI development, particularly in customer support applications. - Experience with website integration of AI tools. - Strong background in natural language processing (NLP). - Prior work on similar projects is a plus. Please provide a brief overview of your relevant experience and approach to thi...

...deployment, training data structure, and how to trigger appointment booking events Final acceptance will be based on: 1. correct responses across the supplied FAQ set (≥90 % accuracy in a test run) 2. successful appointment creation in a staging environment 3. smooth integration on a test version of a representative custom site with no UI glitches If this scope matches your expertise in NLP, Rasa, Dialogflow, or similar conversational AI frameworks, I look forward to your proposal—including a timeline for MVP delivery and any prior work that demonstrates comparable complexity....

...yet can read a printed page and instantly return the answer in Hindi—no phone, tethering, or external processor required. The primary scenario is study support, so the device must be optimised for continuous classroom or library use. Core expectations • Form factor: lightweight frame that passes for regular eyewear, housing all electronics unobtrusively. • On-board processing: camera, OCR and NLP running locally; after scanning a question on paper the system should interpret it and speak or discreetly display the answer in Hindi. • Content handling: books, handwritten or printed notes, printouts and any typical study material. Even isolated questions should be recognised cleanly. • User interaction: minimal—ideally a single touch zone or v...

...a convenient time, and drop the final booking straight into our Google Calendar through its API. The conversation flow should handle basic follow-ups such as rescheduling or cancellations, verify caller details, and read back the appointment summary before hanging up so there are no surprises for either party. The stack is flexible—Dialogflow, Rasa, Twilio, Amazon Connect, or any similar voice/NLP framework is fine—as long as latency stays low and speech recognition accuracy is high. If you favour a large-language-model approach, make sure the system still obeys a tight prompt and never drifts off-topic. Please share past work that demonstrates you have already shipped voice or chat automation tied to real-world calendars or CRMs. A short audio or video clip, GitHub...

...on top of it. My main focus is keeping the inventory data display realtime, answering routine user inquiries, and suggesting the most relevant properties to each visitor. The inventory data sits in our internal database, so the new code has to pull directly from there, detect changes instantly, then push those updates to every listing page without manual refreshes. For user inquiries, I need an NLP-powered assistant that can handle questions about property availability and help prospects schedule visits 24/7. On top of that, a lightweight recommendation engine should analyse browsing behaviour and return personalised property recommendations in the same session. Deliverables I will use to accept the work: • API or webhook layer that syncs inventory changes from the interna...

...user interactions through automated, intelligent, and responsive communication. Key Requirements: - Develop a robust AI Voice Agent capable of understanding and responding to user inputs in real-time. - Ensure 24/7 operational availability for seamless accessibility. - Integrate a user-friendly interface for easy customization and updates. Expected Agent Features: - Natural Language Processing (NLP) for accurate context understanding. - Multi-language support to cater to diverse user demographics. - Secure data handling and compliance with relevant regulations. AI Agent Prompt: أحتاج إلى تصميم لوحة إعلانية مميزة تركّز بشكل أساسي على ترويج منتج أو خدمة. سأشارك معك شعار الجهة والألوان المعتمدة فور بدء العمل، بينما أنت تتولّى ابتكار الفكرة البصرية وصياغة العبارة الجاذبة التي تشد ...

...meetings. The curriculum should move progressively—from the absolute basics of what AI can and cannot do, through prompt-engineering and data handling, into hands-on projects that automate everyday tasks, organise information, and ultimately culminate in a fully built personal-productivity agent powered by Claude. Along the way I’d like to touch on wider AI concepts (machine learning foundations, NLP best practices, simple model fine-tuning) so I understand the “why”, not just the “how”. By the end of the engagement I should be able to: • Write effective prompts and workflows for Claude that streamline my daily routines. • Build, test, and iterate a small AI agent or chatbot locally or in the cloud. • Apply the same p...

I need an AI note taker specifically designed for meeting transcription. The AI should be able to: - Convert speech to text - Summarize key points - Extract action items Final notes should be organized and accessible on an online dashboard. Ideal skills and experience: - Experience in developing AI-driven transcription tools - Proficiency in natural language processing (NLP) - Familiarity with dashboard UI/UX design - Strong background in software development and integration Looking for a streamlined, user-friendly solution.

... First version should include: Real-time DXY tracking Economic calendar integration AI filtering of important news Telegram alerts Gold/BTC impact prediction We can expand later. --- Tech Requirements Open to suggestions, but preferred stack: Frontend: React or Flutter Backend: Python + FastAPI Database: PostgreSQL Real-time processing: WebSockets / Streaming AI: LLM or NLP model for news classification Cloud: AWS / Google Cloud --- Important Notes Speed and accuracy are very important. News should come as close to real time as possible. System should focus only on market-moving news. I want a reliable long-term developer who understands trading/macroeconomics or is willing to learn. Please explain: 1. Similar projects you have built 2. Re...

...optimize cloud costs and performance - Experience with Kubernetes, Docker, and CI/CD pipelines 3. AI/ML Engineer - Develop, train, and deploy machine learning and deep learning models - Work with large datasets to build predictive and analytical solutions - Integrate AI/ML models into production systems - Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn - Strong background in NLP, computer vision, or generative AI is a plus 4. Data Engineer - Build and maintain robust data pipelines and ETL processes - Design and manage data warehouses and data lakes - Work with large-scale distributed systems such as Apache Spark, Kafka, or Airflow - Collaborate with data scientists and analysts to support data needs - Experience with SQL, NoSQL databases, and cloud data...

...mobile, and guide visitors smoothly from first click to booked consultation. Core requirements • Custom UI/UX that projects confidence—bright visuals, strong typography, motion used sparingly for emphasis. • An AI-powered chatbot whose main job is to gather prospective-client details (name, matter type, preferred dates, etc.) and hand them off seamlessly to our intake system. Connecting to an NLP service such as OpenAI or Dialogflow is fine; what matters is data accuracy and a friendly tone. • Built-in support channels: live chat widget, email ticketing form, and a clearly displayed phone button that launches click-to-call on mobile. All three must funnel into our existing helpdesk (Freshdesk or similar—advise on best integration). • Autom...

...Real-time market data analysis so every tick, Greek, and volatility move feeds straight into the engine. • A backtester that replays historical intraday data and produces complete performance reports before any strategy goes live. For the AI layer I want the full stack: predictive analytics to forecast short-term moves, machine-learning modules that keep tuning strategies as live P&L comes in, and NLP that scans news or social media for events affecting Indian derivatives. The end product should expose a clean Python API plus a lightweight dashboard where I can watch signals, order flow, and P&L in real time. Please make the architecture modular so I can swap data feeds, brokers, or models without rewiring everything. Deliverables 1. Source repository with str...

...technical route you prefer—WhatsApp Business API, a headless device bridge, or a clever hybrid—as long as it respects WhatsApp policies and stays resilient if numbers change or a session drops. AI or NLP components are welcome for cleaning the text, detecting language, and tagging key phrases before the data lands in the sheet and CRM. Deliverables • A runnable script, micro-service, or lightweight app that captures group traffic 24/7 • Live integration with Google Sheets (append-only, no overwriting) • Live push into Base44 via its REST endpoints (documentation supplied after award) • Basic NLP enrichment: remove emojis, normalise case, and tag the first three keywords per message • Setup guide and short Loom walkthrough so ...

...performance. The AI layer can leverage TensorFlow, PyTorch or a managed service, provided you document the training pipeline and make the models reproducible. Deliverables 1. A working iOS, Android and web build deployed to TestFlight / Google Play internal testing / a staging URL. 2. Admin dashboard with role-based access, data import/export and campaign configuration. 3. Predictive and NLP models trained on a sample dataset and wired into the live workflow. 4. Setup scripts, source code in a private repo, brief hand-off video and deployment guide. Acceptance criteria • All three platforms share one account and reflect the same data within five seconds. • AI predictions render in under two seconds and improve accuracy as new data arrives. • Unit an...

...components capable of object detection, recognition, and tracking • General AI problem-solving utilities to tie everything together and optimise performance You should be comfortable choosing the right algorithms, cleaning and labelling data, iterating rapidly, and packaging your solutions so they slot cleanly into a larger codebase. Python, TensorFlow or PyTorch, scikit-learn, and popular NLP/CV libraries (spaCy, Hugging Face Transformers, OpenCV) will be your day-to-day tools, but I’m open to additional tech stacks if they serve the goal better. Success for each milestone will be measured by accuracy benchmarks, runtime efficiency, clean documentation, and well-structured, maintainable code that I can extend in future phases. If you thrive on challenging AI bu...

...experience: - Strong background in managerial accounting - Expertise in budgeting - Ability to explain complex concepts clearly - Experience with AI and accounting homework platforms Objective In this assignment you will (a) programmatically retrieve a small panel of 10-K annual reports from the SEC EDGAR system, (b) extract the Management's Discussion and Analysis (MD&A) section, and (c) run two NLP analyses - sentiment scoring and topic modeling - on the extracted text. You will then interpret the results from an accounting analyst's perspective. This assignment is intentionally end-to-end. The goal is for you to feel the joint cost and value of working with real, messy accounting text data. Tools and starter code Python 3.11+ with packages: requests, pandas, be...

...engagement meant to be wrapped up quickly, so aim for practical, production-leaning code rather than research prototypes. Let me know your approximate timeline, the libraries you intend to use, and any dataset suggestions when you reply. Required Skills (Tags): Python Artificial Intelligence Machine Learning (ML) Deep Learning Generative AI LLM (Large Language Models) OpenAI API Prompt Engineering NLP (Natural Language Processing) Data Science Data Processing Pandas NumPy TensorFlow PyTorch Scikit-learn LangChain Deliverables: Working source code Setup instructions Basic documentation Testing before delivery Budget: ₹1500 (Fixed Price) Timeline: 1-2 Days only Application Requirements: Please share: Similar AI/ML work done earlier Tech stack you will use Delivery timeline ...