You will get advanced NLP, Deep Learning, Machine Learning Model and Application
Top Rated
Project details
If you need NLP, Natural Language Processing, Deep Learning, Machine Learning application to be done. I can do Artificial Intelligence/AI specifically NLP projects for any domain. I have 3+ years of experience in AI and worked on various machine learning projects and assignments.
NOTE:
The project Price depends on the Time and Effort required to be completed which is different for each project. Please contact me before placing an Order so the appropriate Price and Duration will be decided.
I have worked in NLP, Deep Learning, Machine Learning tasks such as but not limited to
- POS Tagging
- Name Entity Recognition (NER)
- Word Embeddings (Word2Vec, Glove, FastText)
- Topic Modeling
- Intent Classification
- Information Retrieval
- Semantic Textual Similarity
- Text Classification
- Sentiment Analysis
- Text Summarization
- Machine Translation
- Chatbots
- Text Generations
- Question Answering
- Speech Recognition (Text to Speech)
Additionally, I have expertise on Multilingual NLP Deep Learning models like (Multilingual BERT, XLNET, ROBERTA, T5, Transformers) on various tasks like Name Entity Recognition (NER), Text Classification, Chatbots, Question Answering, etc.
NOTE:
The project Price depends on the Time and Effort required to be completed which is different for each project. Please contact me before placing an Order so the appropriate Price and Duration will be decided.
I have worked in NLP, Deep Learning, Machine Learning tasks such as but not limited to
- POS Tagging
- Name Entity Recognition (NER)
- Word Embeddings (Word2Vec, Glove, FastText)
- Topic Modeling
- Intent Classification
- Information Retrieval
- Semantic Textual Similarity
- Text Classification
- Sentiment Analysis
- Text Summarization
- Machine Translation
- Chatbots
- Text Generations
- Question Answering
- Speech Recognition (Text to Speech)
Additionally, I have expertise on Multilingual NLP Deep Learning models like (Multilingual BERT, XLNET, ROBERTA, T5, Transformers) on various tasks like Name Entity Recognition (NER), Text Classification, Chatbots, Question Answering, etc.
What's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
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DV
DJ V.
Jul 1, 2026
Quality assessment of forensic psychiatric reports using RAG / Langchain
GA
Ghuffran A.
Oct 28, 2025
Build a YouTube Chatbot Using RAG (LangChain + OpenAI)
Amazing experience working with Haider! He built a powerful YouTube chatbot using LangChain and OpenAI with great precision. Highly professional, communicates clearly, and delivers top-quality AI solutions on time
About Haider
AI Voice Agent Developer | Retell/ElevenLabs/LiveKit | AI Agents, LLM
100%
Job Success
Rawalpindi, Pakistan - 4:46 am local time
I'm an AI Voice Agent Developer with 7+ years of AI engineering experience. Because most of my AI systems needed a real product around them, not just an API, I've also shipped the web, mobile, and desktop apps they run in.
Voice AI Agents:
If your voice agent sounds great in testing and then breaks down on a real call — long pauses, awkward interruptions, or a bill that scales badly with call volume — that's what I fix.
- Self-hosted speech-to-speech pipeline on LiveKit: ~1–1.5 second response latency, low cost, smooth interruption handling, and noise suppression
- Or a managed build on Retell or ElevenLabs if you already have a platform preference — I've delivered the same production use case on all three, so you get the right tradeoff on latency, cost, and control instead of whichever tool I happen to know
AI Agents & LLM Systems:
- Multi-agent orchestration with LangGraph and CrewAI — specialized sub-agents handling distinct steps (planning, execution, verification) instead of one monolithic prompt doing everything
- Built a LangGraph-based AI app-generation system: a multi-step pipeline (spec → plan → scaffold → build → fix → preview) with dedicated tool-agents for file handling, shell commands, and build-error parsing — turning a plain-language request into a working, previewable app with an edit loop for follow-up changes
- Agentic RAG systems built on LLMs (OpenAI, Claude, LLaMA, Qwen) with grounded, citation-backed retrieval over documents and knowledge bases
Computer Vision (GPU & Edge):
- Object detection, segmentation, and multi-object tracking (YOLO, BoT-SORT, Deep SORT)
- Deployment to edge devices (Jetson Nano, Xavier NX) with real-time performance optimization
- Built DentaSmart, a live App Store app that detects and segments dental conditions from X-rays - and oral images, with a patient-facing chatbot for follow-up questions
- Built a real-time pose-correction fitness app that tracks joint angles via mobile camera to detect posture mistakes and correct exercise form live
- Built a drone-based traffic analytics system using fine-tuned YOLO + BoT-SORT for persistent multi-object tracking through occlusion and dense traffic
How I Work:
I don't just deliver a model — I architect and ship the product it lives in: iOS, Android, React/Next.js web apps, Windows desktop applications, and backend (FastAPI/Python), deployed on AWS/GCP. For example, a real-time call-center transcription and supervisor-coaching platform I built runs as a Windows desktop agent app paired with a live web dashboard — two-sided transcripts, AI-assisted reply suggestions, and real-time escalation alerts.
Ideal Clients:
I work best with teams that need to:
✔ Turn an idea into a working AI-powered MVP — one person owning both the AI and the product around it
✔ Replace a fragile AI demo with something production-ready
✔ Add voice AI, AI agents, or computer vision capability to an existing product
✔ Build a multi-agent workflow that actually completes tasks, not just simulates them
✔ Deploy computer vision to real hardware (edge devices, cameras, embedded systems)
Tell me what you're building and where it's currently stuck — I'll give you a straight answer on scope and approach before you spend a connect.
Steps for completing your project
After purchasing the project, send requirements so Haider can start the project.
Delivery time starts when Haider receives requirements from you.
Haider works on your project following the steps below.
Revisions may occur after the delivery date.
Get Requirements
We need the detailed requirements with the following information. 1) Detailed description of the project. 2) Model Accuracy required. 3) Computational Resouce where model being deployed. 4) Timeline. 5) Budget.
Planning and Design
The proposed approach along with the reasons for the project will be discussed.