You will get computer vision, deep learning model and application in python
Top Rated
Project details
If you need Computer vision, Machine Learning, Deep Learning models, and applications in python. I can do Artificial Intelligence/AI specifically computer vision projects using Pytorch, Tensorflow, and OpenCV. 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 Computer vision, Deep Learning, Machine Learning projects, and some major approaches that may be helpful for your project:
- ANN
- CNN
- R-CNN, LSTM
- K-NN, K-Means
- Generative Adversarial Network (GANS)
Additionally, worked on Computer Vision, Deep learning tasks
- Face Recognition
- Object Detection and Tracking
- Text Detection and Recognition
- Landmark Detection
- Pose Estimation
- Image and Instance Segmentation
- Scene Understanding (Image Captioning)
Tools and Libraries:
- Tensorflow, Keras
- Pytorch
- Caffe, Theano
- Open Cv
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 Computer vision, Deep Learning, Machine Learning projects, and some major approaches that may be helpful for your project:
- ANN
- CNN
- R-CNN, LSTM
- K-NN, K-Means
- Generative Adversarial Network (GANS)
Additionally, worked on Computer Vision, Deep learning tasks
- Face Recognition
- Object Detection and Tracking
- Text Detection and Recognition
- Landmark Detection
- Pose Estimation
- Image and Instance Segmentation
- Scene Understanding (Image Captioning)
Tools and Libraries:
- Tensorflow, Keras
- Pytorch
- Caffe, Theano
- Open Cv
What's included
| Service Tiers |
Starter
$125
|
Standard
$320
|
Advanced
$810
|
|---|---|---|---|
| Delivery Time | 3 days | 10 days | 29 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
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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
Voice AI Architect & Computer Vision Engineer | AI Agent Developer
100%
Job Success
Rawalpindi, Pakistan - 5:52 pm local time
I'm an AI Engineer with 7+ years of 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:
- Real-time speech-to-speech pipelines, self-hosted on LiveKit or managed via ElevenLabs/Retell AI
- Full STT → reasoning → TTS pipelines tuned for low latency (~1–1.5s response time)
- Delivered a live voice AI sales agent three ways — self-hosted LiveKit, ElevenLabs, and Retell AI — for the same use case, so I can match your latency, cost, and control needs
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
Multi-Agent AI 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 with grounded, citation-backed retrieval over documents and knowledge bases
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, computer vision, or multi-agent capability to an existing product
✔ Deploy computer vision to real hardware (edge devices, cameras, embedded systems)
✔ Build a multi-agent workflow that actually completes tasks, not just simulates them
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.