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You will get AI-Based Fire & Smoke Detection System

Shravan K.Status: Offline
Shravan K.
Preview image

Let a pro handle the details

Buy Machine Learning services from Shravan, priced and ready to go.
Shravan K.Status: Offline
Shravan K.
Preview image

Let a pro handle the details

Buy Machine Learning services from Shravan, priced and ready to go.

Project details

Directed the end-to-end development and deployment of an industrial safety system leveraging YOLOv5 for real-time fire and smoke detection.
Managed the entire pipeline, including data curation, model training, optimization, C++ integration, and DLL packaging for production surveillance systems.
Delivered scalable, low-latency AI solutions that enhanced factory safety and operational monitoring.
Machine Learning Tools
NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch

What's included $3,000

These options are included with the project scope.

$3,000
  • Delivery Time 70 days
  • Number of Revisions 2
  • Number of Model Variations 4
  • Number of Scenarios 2
  • Number of Graphs/Charts 1
    • Model Validation/Testing
    • Model Documentation
Shravan K.Status: Offline

About Shravan

Shravan K.Status: Offline
AI engineer proficient in developing innovative solutions
Bengaluru, India - 8:39 pm local time
Results-driven AI and Deep Learning leader with a proven record of owning and scaling end-to-end AI systems, translating advanced models into reliable, production-grade intelligence deployed across real-world, high-stakes environments.
Demonstrated expertise in bridging research and production, driving the full AI lifecycle— from problem framing and data strategy to model optimization, deployment, and long-term system reliability. real-time AI execution across CUDA-enabled devices.
Strong leader in delivering low-latency, high-performance intelligence systems under strict
operational safety, and scalability constraints.
Trusted technical partner to cross-functional stakeholders, aligning AI strategy with business and operational outcomes while ensuring production readiness, performance governance, and continuous improvement.
Forward-looking AI practitioner extending applied deep learning foundations into LLM-driven and multimodal intelligence systems, with a focus on scalable deployment, system integration, and enterprise-grade impact.

Steps for completing your project

After purchasing the project, send requirements so Shravan can start the project.

Delivery time starts when Shravan receives requirements from you.

Shravan works on your project following the steps below.

Revisions may occur after the delivery date.

Analyze the requirement and plan the steps

Review the work, release payment, and leave feedback to Shravan.