You will get Logo Generation Model Development and Stable Diffusion Finetuning


Project details
Get the AI LLM that generates beautiful and required logos/images from the given requirements (as prompt text).
Deploy that model on serverless inferencing platform like AWS/Azure/GCP or even in Runpod.
Finetune models as per your needs and requirements.
Deploy that model on serverless inferencing platform like AWS/Azure/GCP or even in Runpod.
Finetune models as per your needs and requirements.
Machine Learning Tools
Amazon SageMaker, PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 0 | 1 | 2 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10
Additional Model Variation
(+ 3 Days)
+$20About Pranav
AI/ML | Cloud Solutions Architect & DevOps Specialist
Ahmedabad, India - 2:16 am local time
# Expertise Areas
1) AI & Machine Learning
* Proficient in NLP, computer vision, deep learning, and automatic speech recognition. I have developed custom AI-powered solutions for tasks like real-time object detection, occupancy tracking, wall segmentation, color correction, and system information parsing. My experience includes fine-tuning state-of-the-art models such as YOLOv8, Stable Diffusion, Whisper, and Phi3 LLM to deliver optimized results for clients.
2) Backend Development
* Skilled in Python (FastAPI, Flask) and C# (.NET), I have built scalable APIs and backend systems. My projects include form autofill services, OCR solutions for menu data extraction, and cloud-native microservices deployed via Azure Container Apps.
3) Cloud Infrastructure & DevOps
* As a certified expert in Terraform, I’ve designed and maintained cloud architectures, enabling streamlined infrastructure provisioning and configuration. My DevOps practices include CI/CD pipeline creation using GitHub Actions, Kubernetes orchestration with Helm, and performance optimizations using TensorRT on high-performance GPUs.
4) Web Scraping & Data Engineering
* I’ve developed scalable web scraping frameworks for major e-commerce platforms like Flipkart and Amazon, integrating with PostgreSQL databases for efficient data management and job scheduling.
# Professional Accomplishments
1) Real-Time Object Detection:
* Pioneered YOLOv8 web inference with TensorFlow.js, increasing inference speed by 30%.
2) People Counting Solutions:
* Engineered a precise people counting system using YOLOv8-Lite, boosting accuracy by 40% while reducing storage usage by 20%.
3) Customer Monitoring System:
* Designed a comprehensive solution for restaurant/bar customer tracking, recognized as the Best Industry Solution at the Annual Computer Vision Awards.
4) Hackathon Success:
* Secured 2nd runner-up position at the AI Hackathon 2024 by developing a worker safety application prototype for construction sites.
# Technical Skills
- Languages & Frameworks: Python, C#, Node.js, Java, TensorFlow, PyTorch, FastAPI, Flask, .NET
- Cloud & DevOps: Microsoft Azure, AWS, GCP, Terraform, Kubernetes, Docker, GitHub Actions
- Databases: PostgreSQL, MySQL, MongoDB, CosmosDB
- AI Tools & Libraries: Transformers, Hugging Face, YOLOv8, OpenAI Whisper, Stable Diffusion
# What I Bring to the Table
* I’m dedicated to crafting robust, scalable, and efficient solutions tailored to your business needs. My collaborative approach, coupled with a strong technical foundation, ensures that I deliver high-quality results aligned with your goals.
* Whether you’re looking for end-to-end AI/ML implementation, backend system optimization, cloud infrastructure setup, or DevOps automation, I am here to provide innovative solutions and measurable outcomes.
Let’s collaborate to turn your vision into reality!
Steps for completing your project
After purchasing the project, send requirements so Pranav can start the project.
Delivery time starts when Pranav receives requirements from you.
Pranav works on your project following the steps below.
Revisions may occur after the delivery date.
Consultation
Discuss the needs and features
Development
Collect images and generating captions and tags (as per need and type) (not needed if client have data ready) Started developing/training/integrating the model