You will get an autonomous agentic workflow for task completion in engineering field.
Project details
You will get an autonomous agentic workflow to perform various tasks that will increase your productivity and efficiency. You will be able to achieve the work it takes you a month to do in a week.
AI Algorithms
Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer Model, Variational AutoencoderAI Applications
AI Chatbot, AI Text-to-Image, AI-Enhanced Classification, Conversational AI, Image Analysis, Image ProcessingAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, PyTorch, Streamlit, Word2vecAI Models
BERT, ChatGPT, GPT-3, GPT-4, LLaMA, Stable DiffusionWhat's included
| Service Tiers |
Starter
$800
|
Standard
$1,500
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 14 days | 30 days | 60 days |
Number of Revisions | 3 | 6 | 10 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | - | - | |
Detailed Code Comments | - | - | |
Image Upscaling | - | - | |
MLOps | - | ||
Model Deployment | |||
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | - | ||
Pre-Training | - | - | |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$20About Nirmal
Mechanical Engineer
Kathmandu, Nepal - 3:57 am local time
Steps for completing your project
After purchasing the project, send requirements so Nirmal can start the project.
Delivery time starts when Nirmal receives requirements from you.
Nirmal works on your project following the steps below.
Revisions may occur after the delivery date.
First Iteration
Meeting the functional requirements of the product
Second iteration
Updates on the product after the feedback