You will get an end-to-end machine learning based web app (backend, frontend, deploy).
Project details
I take end-to-end responsibility to deliver the full fledged product/service with minimum required involvement from the client. Services range from web app integrated with a machine learning based backend along with UI and cloud deployment taken care of. Basically, everything..
What's included
| Service Tiers |
Starter
$200
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 30 days | 40 days | 60 days |
Number of Revisions | 2 | 3 | 3 |
Number of Model Variations | 2 | 3 | 5 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 5 | 10 | 20 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | ||
Source Code |
About Robin
AI Solutions Engineer | GPT, Voice, Automation, Full-Stack Deployment
Delhi, India - 7:35 am local time
I specialize in developing high-impact AI products that go beyond prototypes. I build solutions that think, speak, and scale.
🧠 AI Brain (Core Intelligence)
• Custom GPT Agents (OpenAI API, ChatGPT, LangChain)
• Machine Learning Models (NLP, forecasting, classification, personalization)
• Retrieval-Augmented Generation (RAG) with vector search (Pinecone, FAISS, Weaviate)
• Speech-to-Text & Text-to-Speech (Whisper, ElevenLabs, Polly)
🛠️ AI Body (Interfaces & Logic)
• Web or Mobile App Interfaces (React, Flutter, Streamlit, Gradio)
• Conversational UX (Voice/Web chat interfaces)
• API Layers (FastAPI, Flask, Node)
🚀 AI Deployment (Infra & DevOps)
• End-to-End Hosting (Docker, Caddy, Nginx, Portainer)
• Cloud Deployment (GCP, AWS, DigitalOcean)
• CI/CD, Custom Domains, Scalable Architecture
🔧 Bonus: Automation & Integration
• AI-Powered Automation with Make/Zapier
• Google Sheets/Docs + Notion + CRM Integrations
Who I Work With:
✔ Founders building AI-powered SaaS or apps
✔ Teams needing deployable GPT assistants or voice bots
✔ Agencies looking to white-label AI tech
Whether you're looking to ship an MVP fast, or roll out a full-stack AI deployment to customers — I deliver the full pipeline with clean code and stable infra.
Let’s talk about building something intelligent that actually ships.
Steps for completing your project
After purchasing the project, send requirements so Robin can start the project.
Delivery time starts when Robin receives requirements from you.
Robin works on your project following the steps below.
Revisions may occur after the delivery date.
Initial consulting
Finalize the end goal deliverable
Prototype showcase
Demo of the key features of the product/service, after which full-scale development will happen.