Nlp Projects

Full Stack Developer (React + Node.js + AI/ML Experience)

We are hiring a Full Stack Developer with strong hands-on experience in React (Frontend), Node.js (Backend), and AI/ML development. The candidate must have worked on AI APIs, model integration, and machine-learning–based application development. Key Responsibilities: Develop responsive UI using React.js, Redux/Context API Build and maintain Node.js/Express backend services Design and integrate REST APIs Implement and integrate AI/ML models, LLM APIs, NLP workflows Work with databases (MongoDB / MySQL / PostgreSQL) Deploy AI-driven applications on AWS / GCP / Azure Troubleshoot, debug, and optimize performance Collaborate with Product, UI/UX, QA teams Must-Have Skills React.js, JavaScript (ES6+), HTML/CSS Node.js, Express.js AI/ML development (TensorFlow / PyTorch / Scikit-learn) AI API integration (OpenAI, Gemini, Claude, HuggingFace, etc.) REST API architecture & JSON Database knowledge (MongoDB/MySQL/PostgreSQL) Git, Docker (basic) Good to Have Experience with vector databases (Pinecone, Weaviate, FAISS) Knowledge of RAG pipelines / embeddings Cloud deployment (AWS/GCP/Azure) Microservices architecture Project will be discussed with the selected candidate after an Interview. Thank you Ashish

Elite Short-Form Editor Wanted | Turn Impact into Virality

Ready to create viral content for a world-class personal brand? I’m searching for a top-1% short-form video editor who can turn transformation into engagement. I’m a Certified NLP Master Practitioner and Best-Selling Author helping creators and entrepreneurs find true business-life balance. Now I’m building a movement — and I need an editor who edits like an artist and thinks like a strategist. You’ll Thrive If You: Have edited viral Reels/TikToks that hit millions. Know how to hook attention in 1 second and hold it for 60. Live and breathe trends, pacing, and storytelling. What You’ll Get: Part time. To Apply: Send 3–5 of your strongest edits, proof of performance (metrics/screenshots), and the creators you’ve worked with. This isn’t for dabblers — it’s for editors ready to dominate.

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AI Chatbot Developer – Career Management Platform

Project Overview We are looking for a freelance AI Chatbot Developer to build and optimize a conversational AI assistant for our career management platform. The chatbot will help users explore career options, set goals, get personalized recommendations, and access coaching-style guidance. Scope of Work Develop an AI-powered chatbot using LLMs (OpenAI, Anthropic, etc.) tailored to career development workflows. Create dialog flows, prompts, and conversational logic that deliver personalized guidance and support. Integrate the chatbot into our existing web and/or mobile platform. Set up and fine-tune retrieval (RAG) using our content, resources, and user data (as allowed). Implement intent detection, context tracking, and user personalization features. Build internal tools for conversation review, testing, and iteration. Ensure all responses are accurate, safe, and aligned with career coaching best practices. Optimize model performance, latency, and cost. Provide documentation and optional post-launch support. Required Skills Proven experience developing AI or NLP-based chatbots, ideally using next-gen LLMs. Strong proficiency in Python, Node.js, or similar backend languages. Experience with RAG pipelines, vector databases (e.g., Pinecone, Weaviate, Chroma), and prompt engineering. Ability to translate career coaching frameworks into conversational experiences (or willingness to learn). Experience integrating AI systems into production apps (APIs, webhooks, front-end handoff). Good communication, documentation, and self-management—comfortable working independently. Nice-to-Have Background in career coaching, HR tech, edtech, or talent development. Experience with analytics and A/B testing for conversational AI. Knowledge of AI safety, bias mitigation, and user experience best practices.

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Ai scraper for company details

We are seeking a skilled developer to create an AI-driven web scraper designed to extract verified business contact details and email addresses from public sources. The solution must adhere to GDPR regulations, incorporate email validation (SMTP/MX), eliminate duplicates, and produce clean outputs in CSV format or via API for outreach purposes. The project should be executed in Python or Node.js, utilizing AI/NLP techniques for effective name and role extraction. A user-friendly interface or CLI is required to initiate jobs, manage data exports, and review logs. The expected delivery timeframe is two weeks. Please include examples of prior scraping projects, your strategy for ensuring GDPR compliance and email validation, as well as a fixed price quote along with the anticipated completion timeline.

Full-Stack Developer –AI-Driven Real Estate LeadGen&Marketplace

Freelance Full-Stack Developer – AI-Led Commercial Property Platform (UK) We are a London-based commercial property agency looking for an experienced freelance full-stack developer (or small team) to build a custom, AI-driven, fully automated lead generation and property marketing platform. This is a high-impact greenfield project with immediate start. About the Project The platform has two phases: Phase 1 (Immediate Priority – Internal System) Build a secure, scalable database and automation engine to: • Create a London-wide tenant database (company, address, size, rent, lease dates, growth tracking) • Auto-generate leads using scraping tools and data sources • Run multi-channel drip email campaigns from multiple domains • Trigger instant alerts to agents when emails or links are opened • Match tenants to suitable properties automatically • Auto-organise viewing tours and request data from external agents • Upload PDFs and extract/rewrite property data using AI • Generate internal reports and documentation automatically • Provide landlord reporting dashboards (email stats, viewings, feedback, fees) • Enforce strict user permissions and data security Current tools include HubSpot, Agents Society and Valve, but this will be a custom-built core system. No in-house developers. Team of 5 agents. Phase 2 (Public Website) Build a market-leading London office marketplace with: • Advanced property search, saved searches and alerts • Tenant tools: Stay vs Go calculator, space calculators, timelines • Guides and insights similar to leading design & build brands • User tracking, comparison tools and instant viewing requests • Integrated third-party services (D&B, furniture, surveyors) Skills Required • Full-stack development (backend, frontend, database, hosting) • Experience with automation, CRM systems, scraping, APIs, email systems • Strong security and user-permission architecture • AI/NLP experience for document extraction and content rewriting (preferred) • Strong UX/UI capability • Excellent communication and project ownership Start, Budget & Payment • Start: ASAP • Phase 1 required urgently • Open budget – you must propose: • Hourly or milestone-based pricing • MVP timeline • Long-term support and future work likely To Apply Please provide: • Portfolio or examples of similar platforms • Technical approach and proposed stack • Availability and rate • Any experience with CRM automation, proptech or SaaS platforms This is a rare opportunity to help build a next-generation AI commercial property platform from the ground up with long-term potential.

Lead Intelligence & Scoring

Develop a machine learning model to calculate lead scores based on demographics, behavior, engagement, and communication data. Implement labeling and tagging mechanisms to classify and organize leads based on interaction types, content, and sentiment. Build a natural language processing (NLP) module to analyze incoming messages, emails, and communication history for intent and tone. Create a persona identification engine for precise lead segmentation. Integrate email and message analytics (open rates, response patterns, sentiment trends) into lead scoring. Implement a Hot/Cold lead alert system to detect significant status or engagement changes. Develop an early pipeline prediction model to identify high-value or at-risk leads. Deliver a secure, modular AI pipeline with retraining logic and full API integration into the CRM as part of the system’s core architecture.

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Python Developer – Prototype for Web Data Analysis & Dashboard

Description: Looking for a Python developer to build a small prototype that: Scrapes public website data for text analysis mentions. Performs basic sentiment analysis (positive/neutral/negative). Aggregates results over daily and weekly periods. Displays results in a simple web dashboard (tables + basic charts). Skills needed: Python Web scraping (BeautifulSoup, Scrapy, Selenium, Playwright) NLP (spaCy, Hugging Face) Flask or FastAPI (for the web dashboard) Details: Hourly project, ~15–30 hours. Deliverables: working Python scripts, local database or CSV/JSON, web dashboard, and instructions to run locally. NDA. More info to be shared. Open to freelancers with experience delivering full prototypes that combine backend data processing and a simple web interface.

Social media data leaks monitoring

I need someone who can create a project as per the title. It will be an analysis of datasets that i will provide. I will need a Python GUI to verify whether there has been leak or non leak. Have to preprocess the datasets using NLP

Build MVP Teams/Slack App – Weekly Pulse + Sentiment Analysis

We’re looking for an experienced developer (or small team) to build an MVP version of a lightweight employee engagement app. The app will be used alongside our consulting service, so it needs to be deployable, not just a demo. Core requirements: - Weekly pulse question (1–5 score + comment) sent to all users via Teams + Slack - Ad-hoc feedback form (with configurable categories) - Admin console (web): configure question + categories, upload users (CSV), view/export responses - Sentiment analysis (Azure OpenAI or Cognitive Services) on comments - Simple dashboards: average score trend, participation rate, sentiment breakdown, comment list with sentiment tags - CSV export (Power BI/Metabase embed optional) - Anonymous by default, with privacy guardrails (k-anonymity) Tech assumptions (flexible): - Backend: .NET Core or Node.js (containerised) - Database: Postgres (preferred) - Hosting: Azure (App Service/Functions, Blob Storage) - Front end: React/Next.js (for admin + Teams tab) - Identity: Entra ID (Teams) + Slack OAuth Timeline: - 6 weeks full time (MVP scope). What we’re looking for: - Strong experience with Teams or Slack apps (Adaptive Cards, bots, slash commands) - Experience with Azure + .NET/Node + Postgres - Evidence of NLP/AI integration (sentiment analysis, text classification) - Able to deliver a fixed-price proposal against MVP scope Please share examples of similar work (especially Teams/Slack apps) and your availability.

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Custom IG Bot: Scraping, Age Check, DM Chatbot, Booking

We are seeking a developer or small team to build a fully automated lead generation system for Instagram. The system will identify users based on video content and profile data, engage them with human-style comments and replies, qualify them in Instagram DMs, and direct suitable leads to book a consultation via a calendar link. This project requires experience with automation, browser scripting, GPT-based NLP, and API integration. The automation will replace a manual outreach process and must perform reliably at scale. Scope of Work: The full pipeline includes the following phases: 1. Lead Discovery Search Instagram using specific hashtags Scrape video posts, including: post ID, username, caption, and video URL Tools: Puppeteer, Apify, PhantomBuster, or Instagram Graph API (if accessible) 2. Age Estimation Extract 3–4 frames from each video Run age detection on the frames to exclude users under a defined threshold Tools: OpenCV, Face++, DeepFace, AWS Rekognition 3. Profile Analysis & Suitability Scoring Scrape profile bio and recent post captions Use NLP to detect intent, keywords, and language Score suitability based on rule-based logic Tools: GPT-4 API or similar, browser scraping 4. Comment Posting Post a personalised comment using one of 5–10 prewritten variations Include user’s name if detectable Tools: Meta Graph API or Puppeteer 5. Threaded Replies Monitor for replies to the initial comment Generate contextual responses and post them as replies (not new comments) Tools: GPT-4, Puppeteer, Meta API if possible 6. Off-Platform Interest Signal (Optional) Visit a link shared by the user (e.g. portfolio, profile) Interact with the content and reference it in comments or DMs Tools: Puppeteer or relevant external API 7. Instagram DM Chatbot Respond to inbound DMs Ask 2–3 pre-defined qualifying questions Use GPT or structured logic to respond dynamically Share booking link when user is warm Tools: GPT-4, ManyChat, MobileMonkey, or custom DM handler 8. Booking & CRM Integration Detect when user books a consultation via a calendar link (e.g. Calendly) Push contact info into CRM End automation for that user Tools: Calendly API, Zapier or Make.com, CRM integration (HubSpot or similar) Requirements: All engagement must feel natural and human Comment replies must be posted in-thread Duplicate contact with the same user must be avoided AI logic must be configurable and editable Logs or dashboard to monitor activity is a bonus Deliverables: Functional automation system across all 8 phases Script library for comments and messages Age verification module NLP-based profile analysis and scoring Booking link automation and CRM handoff Full technical documentation Optional: lightweight dashboard for monitoring Timeline: We are aiming for a working MVP within 4–6 weeks. Phased delivery is acceptable. To Apply: Please include: A short overview of your relevant experience Proposed tech stack and approach Estimated time and cost Any questions or clarifications We’re open to experienced individuals or teams. Preference will be given to those with demonstrable experience in automation, AI, and Instagram workflows.

Create an AI voice agent

Project Title: Development of AI Voice Assistant Software for German Property Management Companies (Based on hallopetra.de & vetpal.de) Project Description: We are looking for an experienced development team or AI expert to build a custom AI voice assistant software inspired by hallopetra.de and vetpal.de. The goal is to develop a scalable voice AI solution tailored to the needs of German property management companies ("Hausverwaltungen"). The software should answer incoming phone calls, understand the caller’s intent, and forward the call or provide relevant information based on predefined workflows – thereby reducing the workload of the internal team. Key Requirements: Voice AI agent capable of answering and processing inbound phone calls in German (high-quality NLP/NLU). Intelligent call routing to the correct department or contact person. Ability to respond to frequently asked questions using AI or pre-defined text-to-speech responses. Customizable workflows to handle various tenant inquiries (e.g., noise complaints, heating issues, rental questions, etc.). Simple drag-and-drop frontend (modular builder) that allows non-technical users to set up workflows and FAQ responses easily. Integration with popular CRM/ticket/email systems (via API/webhook). Web-based admin dashboard to monitor and configure call handling, view logs, and manage clients. GDPR compliance, including proper consent for call recording and secure data handling. Multi-tenant architecture for use as a SaaS solution across multiple property management clients. References for Functionality & UX: https://hallopetra.de https://www.vetpal.de Target Market: German property management companies looking to automate and streamline daily inbound communication with tenants. Deliverables: Fully functional MVP or production-ready version of the voice assistant Admin dashboard with drag-and-drop builder Source code and documentation Deployment assistance and optional maintenance offer Technical Notes: Voice AI must support fluent German Backend: flexible, but scalable Frontend: should prioritize simplicity and usability (no-code/low-code logic builder) Use of existing frameworks like Twilio, Dialogflow, Whisper, etc. is welcome

Python DEV Build Local Document Redaction Microservice(PDF/DOCX)

Description: We’re looking for a skilled developer to create a lightweight Python-based microservice that automatically redacts personal information from uploaded documents (PDF and DOCX). This service will run locally on our private IONOS Linux (Plesk) dedicated server and integrate with a WordPress site via API. Project Goals: Build a local Python microservice (Flask-based) to: Accept uploaded PDF and Word documents via API Automatically identify and redact key text patterns (e.g. names, phone numbers, email addresses, dates, etc.) Return a redacted version with text replaced or blacked out WordPress Integration: PHP hook to intercept document uploads Send file to Flask API and replace with redacted version Start small (couple hundred documents/month) Ensure solution is scalable for high volume (millions/month in future) Tech Requirements: Python 3.10+ Flask (or FastAPI) spaCy or similar NLP library python-docx for Word PyMuPDF (fitz) for PDFs WordPress PHP basics (to hook into upload filter) Experience deploying Python apps on Linux servers Environment: WordPress (PHP) Linux with Plesk (IONOS Dedicated Server) All processing must stay local (no third-party APIs) Ideal Developer: Experienced in document processing (PDF/Word) Comfortable working with both Python and PHP Familiar with WordPress hooks Can deliver a simple working MVP with future scaling in mind

AI Developer

Job Title: AI Developer – Recruitment Process Automation Location: Remote Experience: 2–4 years Job Type: Full-Time | Remote About Us: At Elegant Enterprise-Wide Solutions, we’re transforming how staffing works by embracing smart automation. We're hiring an AI Developer to build intelligent tools that streamline and automate our core staffing operations. Responsibilities: • Design and implement AI/ML solutions to automate recruitment and staffing workflows. • Collaborate with operations and HR teams to understand use cases and pain points. • Build and train models for resume parsing, candidate matching, and document generation. • Create and refine effective prompts to drive accurate outputs from generative AI tools (e.g., ChatGPT, Claude). • Ensure integration of AI tools with internal systems like CRMs, ATS, and proposal platforms. • Continuously improve the accuracy, speed, and reliability of all automation solutions. Requirements: • 2–4 years of experience in AI/ML development or automation projects. • Strong Python skills with hands-on knowledge of libraries such as Scikit-learn, spaCy, or NLTK. • Experience with natural language processing (NLP) and resume parsing. • Ability to craft effective AI prompts for automating content-based tasks. • Familiarity with recruitment workflows, HR tech tools, or staffing platforms. #Indians preferred due to communication and time zone Gap.

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Ai Agentic workflow automation

I need to upgrade our working process to agentic AI automation including Chat bots NLP for our company.

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Collect 100,000 Verified Global AI & Tech Company Contacts

**Who We're Targeting:** * AI/Tech startups and mid-size companies * Recently funded companies (Seed to Series C) * Companies with global clients or expansion * Past attendees of expos like: Web Summit, Gitex, Slush, CES, TechCrunch Disrupt Sectors: NLP, Vision AI, Robotics, Healthcare AI, SaaS, IoT, Cybersecurity, and Generative AI

Short Form Video Editing for Instagram

High-Level Short-Form Content Editor | Work Closely with a Major Personal Brand I’m looking for a best-in-class video editor to take my content to the next level. If you’ve worked with top influencers or taken starting influencers to millions of views through high-impact, viral-level editing, this is for you. As a Certified NLP Master Practitioner, Healer, and Best-Selling Author, my mission is to transform lives through relaxation, core problem identification, and business-life balance. Your role? Bring this message to millions through powerful, engaging short-form content (TikTok, Reels, YouTube Shorts). Who This Is For: ✅ Editors who have worked with high-level influencers OR have helped creators go viral through their editing. ✅ Masters of pacing, engagement hooks, and the latest social media trends. ✅ Experts in dynamic cuts, subtitles, effects, and storytelling that keep audiences hooked. Who This Is NOT For: ❌ Beginners or those without experience working with influencers. ❌ Editors who can’t provide examples of content that has gone viral. Position & Pay:

Unified Review Aggregator & Smart Response System (URAS)

Job Description: We are seeking a skilled developer/team to create a Unified Review Aggregator & Smart Response System (URAS). This tool should serve the purpose of efficiently tracking and responding to hotel reviews across multiple platforms. The system should combine advanced features like tone detection, AI-driven response suggestions, and a streamlined process for posting responses with quality control (QC) approval. Key Features of URAS: Unified Dashboard: Centralized platform to track reviews from various sources (e.g., Google, TripAdvisor, Booking.com, Yelp, etc.). Capability to sort and filter reviews by date, rating, sentiment, platform, and more. Tone Detection: Advanced natural language processing (NLP) to auto-detect the tone of each review (positive, negative, neutral, or mixed). Provide insights into customer sentiment, including urgency or potential areas of concern. AI-Powered Response Suggestions: Automatically generate personalized responses to reviews based on the tone and content of the review. Responses should sound natural, empathetic, and professional, matching the brand's voice. Suggestions should be customizable and adaptable to various hotel types (e.g., luxury, boutique, budget). Quality Control Approval Process: Implement a QC approval system to ensure responses are reviewed and approved by staff before being posted. User interface for team members to approve or modify AI-generated responses. Review Analytics & Reporting: Generate reports on review trends, sentiment analysis, and performance metrics. Dashboards to track response times and overall review sentiment improvement. Skills Required: Expertise in AI/ML/NLP for tone detection and natural language generation. Experience with API integration to connect and pull reviews from multiple hotel review platforms. Frontend and Backend Development (Web-based interface, cloud storage, database integration). Familiarity with Quality Control systems to implement approval workflows. Strong experience with data security and privacy (for sensitive customer data). Proven track record in developing customer service tools or similar review management systems. Project Scope: Full-stack development of the URAS platform. AI model training and fine-tuning for accurate tone detection and response suggestions. Integration with popular review platforms (Google, TripAdvisor, Booking.com, etc.). Customizable approval workflows and user interface for easy review management. Ongoing maintenance and support post-launch. Desired Deliverables: Fully functional URAS platform with all key features. Documentation for the platform's use and management. Support for deployment and maintenance. Budget: This is a fixed-price project, and we’re open to discussing your rate based on experience and estimated timeline. Timeline: We’re aiming for a 6-8 week development cycle for initial MVP (Minimum Viable Product) launch, with potential for long-term collaboration for future updates and improvements. To Apply: Please provide: A brief overview of your relevant experience. Examples of similar projects you've worked on (preferably in AI, review management, or customer service tools). Your approach to integrating tone detection and AI-driven responses. Estimated timeline and cost. We look forward to working with you to develop a cutting-edge solution for hotel review management!