You will get an AI assistant with RAG, tool calling, and multimodal AI
Project details
You will get a complete AI assistant web application built for real users — the kind of product people log into and use daily, not a demo chat box.
The app includes secure sign-in, a modern chat experience with conversation history, and an AI that answers in natural language. Beyond basic chat, it can use tools to pull live information when needed (weather, news, currency rates, and similar). In the full build it can also read uploaded documents and images, then answer from that content using retrieval (RAG) and a vector database. Voice is supported: users can speak, and the assistant can reply with speech.
This is a full-stack product: polished frontend, backend API, RAG pipeline, database, and secure sessions. I customize branding, assistant personality, and prompts for your use case (support, internal knowledge, personal assistant, and more).
You own the source code at delivery. You provide API keys and cover model/hosting usage. I handle the product engineering—solid architecture, working features, and a clear handover you can run and extend.
If you want an AI product that feels production-ready and can grow with you, this is built for that.
The app includes secure sign-in, a modern chat experience with conversation history, and an AI that answers in natural language. Beyond basic chat, it can use tools to pull live information when needed (weather, news, currency rates, and similar). In the full build it can also read uploaded documents and images, then answer from that content using retrieval (RAG) and a vector database. Voice is supported: users can speak, and the assistant can reply with speech.
This is a full-stack product: polished frontend, backend API, RAG pipeline, database, and secure sessions. I customize branding, assistant personality, and prompts for your use case (support, internal knowledge, personal assistant, and more).
You own the source code at delivery. You provide API keys and cover model/hosting usage. I handle the product engineering—solid architecture, working features, and a clear handover you can run and extend.
If you want an AI product that feels production-ready and can grow with you, this is built for that.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Text-to-Speech, AI-Generated Code, Automatic Speech Recognition, Conversational AI, Image Analysis, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Hugging FaceAI Models
LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$149
|
Standard
$299
|
Advanced
$899
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 2 |
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
+$29Frequently asked questions
About Pranay
Full Stack Gen AI Developer | AI Agents, Chatbots & Automation | n8n
Mumbai, India - 4:04 am local time
What I can help you build:
1. AI Chatbots & Assistants: Conversational bots and virtual agents using large language models for customer support, information retrieval, and interactive UIs.
2. RAG & Semantic Search Systems: Document Q&A and recommendation engines that leverage embeddings and vector search (e.g., Qdrant, Chroma) for instant, relevant answers.
3. Custom AI Agents & Automation: Intelligent agents that integrate multiple APIs and micro-context planning (with tools like LangChain and MCP), plus workflow automations (n8n, CI/CD scripts) that reduce manual tasks.
4. End-to-End MERN Stack Apps: Scalable SaaS products and dashboards built with React/Next.js, Node.js/Express, and databases, enhanced with AI/ML features.
I have delivered solutions such as an AI-powered code review platform (automatically detecting bugs and improvement suggestions), a recruitment automation system (streamlining candidate sourcing and screening), and a smart chatbot with a custom retrieval pipeline. In each project, I handle everything from the UI/UX and backend APIs to the AI/ML integration and deployment.
My approach: I prioritize clear communication and maintainable, well-documented code. You’ll get full source code, setup instructions, and timely updates throughout the project. I hold a master's in computer applications, and my work on GitHub demonstrates my skills in generative AI and workflow automation. I’m committed to delivering scalable, reliable solutions that meet your goals.
Let’s discuss your project requirements and how we can use AI and automation to solve your challenges. I’m ready to help your business save time, reduce costs, and gain new capabilities through technology.
Steps for completing your project
After purchasing the project, send requirements so Pranay can start the project.
Delivery time starts when Pranay receives requirements from you.
Pranay works on your project following the steps below.
Revisions may occur after the delivery date.
Confirm scope
I review your requirements and confirm what is included in your purchased package before development starts.
Project setup
I set up the full-stack project structure, environment files, and core configuration for a clean starting base.