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I will build machine learning computer vision ai web apps
U. Naveed
About this gig
PRODUCTION-READY COMPUTER VISION WEB APPLICATIONS
Get deployable AI applications, not notebooks. Our 5-engineer team delivers custom CV solutions with 95%+ accuracy and <100ms inference times.
WHAT WE BUILD:
- Object Detection (security, inventory, quality control)
- Image Classification (defect detection, product categorization)
- Real-Time Dashboards (live analytics, automated alerts)
- OCR & Document AI (invoice extraction, digitization)
- Custom Model Training (fine-tuning on your data)
WHY US:
Complete Solutions: Model + Web Interface + Deployment
5-Person Team: Faster delivery, parallel development
In-House Annotation: Professional data labeling available
Production Focus: Docker, API docs, optimization included
Real Portfolio: Security, finance, logistics, healthcare projects
️ TECH STACK:
Models: YOLOv8/v11, RT-DETR, EfficientNet, CNNs
Frameworks: PyTorch, TensorFlow, OpenCV
Backend: FastAPI, Flask, Docker
Frontend: React, Streamlit
Cloud: AWS, GCP, Azure
DELIVERABLES:
Trained model + documented code
Web app with UI
REST API + docs
Docker deployment
Performance report
15-30 day support
MESSAGE BEFORE ORDERING
Share project details for free 24hr consultation.
Get to know U. Naveed
U. Naveed
Unleash the power of Machine Learning
- FromPakistan
- Member sinceMar 2021
- Avg. response time1 hour
- Last delivery2 years
Languages
Urdu, English, Spanish, Arabic
I build production-ready computer vision and OCR solutions that automate visual workflows. From multi-camera security systems to AR makeup visualizers and automated construction takeoffs—I turn complex visual data into business value. Expert in Python, TensorFlow, PyTorch. Whether it's fine-tuning models, deploying CV systems, or building AI agents, I deliver fast, accurate results. Let's solve your toughest AI challenges.
My Portfolio
FAQ
Do I need to have labeled data?
No! We offer three options: 1. You have labeled data - we train directly 2. You have raw images - our in-house annotation team can label them (additional cost) 3. You have no data - we can discuss data collection strategies or use transfer learning with pre-trained models Message me to discuss your
What's included in the source code?
You receive: - Complete model training code (Python scripts) - Web application source code (frontend + backend) - Deployment configuration files (Docker, requirements.txt) - Detailed code documentation and comments - README with setup instructions All code is yours to modify and use commercially.
Can you integrate this into my existing application?
Yes! We can: - Build a standalone REST API you can call from your app - Integrate directly into your existing codebase (if Python/JS-based) - Provide SDK/library for easy integration - Deploy as a microservice Share details about your tech stack and we'll recommend the best approach.
What accuracy can I expect?
Accuracy depends on: - Data quality and quantity (minimum 500-1000 labeled images recommended) - Problem complexity (2-class vs 20-class detection) - Image conditions (lighting, resolution, angles) Typical results: 85-95%+ accuracy for well-defined problems with good data.
Do you provide post-delivery support?
Yes! All packages include: - Basic: 15 days bug fix support - Standard: 20 days support + minor adjustments - Premium: 30 days priority support + training session After support period ends, we offer maintenance packages. You can also extend support via gig extras.
What if my project doesn't fit these packages?
Message me with your requirements! We handle: - Large-scale enterprise deployments - Multi-model systems - Real-time video processing - Edge device deployment (Jetson, Raspberry Pi) - Projects requiring >$1000 budget We'll provide a custom quote within 24 hours.
How do revisions work?
Revisions cover: ✓ Model accuracy improvements (within project scope) ✓ UI/UX adjustments ✓ Bug fixes ✓ Minor feature tweaks Revisions DON'T cover: ✗ Complete project redesigns ✗ New features outside original scope ✗ Training on completely different data We communicate clearly during development.
What deployment options do you offer?
We support: - Cloud: AWS (EC2/Lambda), GCP, Azure, Railway, Heroku - On-premise: Docker containers for your servers - Edge: Optimization for Jetson Nano, Raspberry Pi - Hybrid: API-based architecture All packages include deployment documentation. Premium includes hands-on deployment assistance.
Can you work with video, not just images?
Absolutely! We handle: - Real-time video stream processing - Recorded video analysis - Multi-camera systems - Object tracking across frames Video projects typically require Standard or Premium packages due to complexity. Message for specific requirements.
