You will get I will build Enterprise AI Support Agents.


Project details
Fully functional code with zero tech debt, Tested code, deployment support and Detailed Document's of all work done with approach for it
AI Algorithms
AdaBoost, Autoencoder, Convolutional Neural Network, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Recurrent Neural Network, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Medical Imaging, AI-Generated Art, AI-Generated Code, AIOps, Anomaly Detection, Conversational AI, Sentiment AnalysisAI Development Language
PythonAI Tools
Adobe Firefly, Azure OpenAI, GitHub Copilot, Hugging Face, Microsoft CNTK, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
AlphaCode, BERT, BLOOM, ChatGPT, GPT-4, LaMDA, LLaMA, Midjourney AI, Naive Bayes Classifier, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$1,500
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 15 days | 7 days | 30 days |
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 | - | - |
About Rinit
AI Engineer | Data Scientist | Agentic AI | ML Engineer | Gen AI | MCP
Indore, India - 4:26 am local time
TECHNICAL SKILLS
Expertise: Python Programming, Cloud and Generative AI
Gen AI Skills: Multi Agent Framework, RAG, MCP, LLM fine tuning, Graph RAG, AutoGen, ADK (agent devlopment kit), A2A, Langgraph, Crewai and Langchain
Data Science Skills: Deep Neural Network Architectures, Transfer Learning, Computer Vision, Ensemble Modeling (Random Forest, AdaBoost, XGBoost, Bagging), Clustering (K-Means, Constrained K-Means, DBSCAN, Fuzzy c-means), Applied Regression (Linear Regression, Logistic Regression, Penalised Regression)
Software Engineering Skills: Data Structures, Algorithms, Software Development, OOP.
Software Platforms: Jupyter Notebook, Anaconda, R studio, Pycharm,Azure, SQL,Android Studio,Developer, Codeblock, Dev- C++
Steps for completing your project
After purchasing the project, send requirements so Rinit can start the project.
Delivery time starts when Rinit receives requirements from you.
Rinit works on your project following the steps below.
Revisions may occur after the delivery date.
Add All the documentation after completion