You will get ChatGPT & RAG-Powered AI Assistant for Websites, Apps & Workflows
Project details
I will build a custom AI assistant powered by ChatGPT and RAG (Retrieval-Augmented Generation) designed to deliver accurate, context-aware responses using your website content, documents, or knowledge base. With 4 years of experience in AI, machine learning, and automation, I specialize in creating solutions that automate customer support, enhance user engagement, and streamline workflows.
What sets my work apart is the end-to-end development process: from dataset integration, prompt engineering, and fine-tuning to full deployment on websites, apps, or messaging platforms. You’ll receive clean, scalable, and well-documented code tailored to your business needs.
The final result is more than just a chatbot—it’s a powerful AI assistant that saves time, reduces costs, and integrates seamlessly with your existing systems.
What sets my work apart is the end-to-end development process: from dataset integration, prompt engineering, and fine-tuning to full deployment on websites, apps, or messaging platforms. You’ll receive clean, scalable, and well-documented code tailored to your business needs.
The final result is more than just a chatbot—it’s a powerful AI assistant that saves time, reduces costs, and integrates seamlessly with your existing systems.
AI Algorithms
Autoencoder, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Multimodal Large Language Model, Radial Basis Function Network, Recurrent Neural Network, Regression AnalysisAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI-Generated Code, Automatic Speech Recognition, Conversational AI, Machine Translation, Natural Language Generation, Natural Language Understanding, Neural Machine Translation, Sentiment Analysis, Sequence ModelingAI Development Language
PythonAI Tools
Azure OpenAI, Copy.ai, GitHub Copilot, Hugging Face, Microsoft CNTK, PyTorch, Replit, Streamlit, TensorFlow, Word2vecAI Models
AlphaCode, BERT, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-J, GPT-Neo, Jurassic-2, LaMDA, LLaMA, Naive Bayes ClassifierWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$650
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 2 | 4 | 7 |
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 |
Frequently asked questions
About Suresh
AI Engineer | GenAI, NLP | Scalable, Cost-Efficient Systems
Karachi, Pakistan - 4:12 pm local time
I bridge the gap between data science and business strategy, combining predictive analytics, automation, cost-aware engineering, and cloud-based deployments to help organizations:
Transform raw data into actionable insights
Enhance decision-making with predictive, generative, and agentic AI
Reduce operational costs through intelligent AI systems
Core strengths include:
Designing and deploying scalable ML, DL & AI workflows in Python
Leveraging NLP, LLMs, embeddings, RAG, AI agents, and vector databases for real-world applications
Implementing cloud-based AI deployments on AWS for robust, scalable solutions
Applying predictive analytics to solve business-critical challenges
Building systems optimized for both performance and cost efficiency
I thrive at the intersection of technology and business impact, delivering solutions that optimize processes, unlock value, and create tangible results.
I’m passionate about learning, building, and collaborating to innovate and deliver measurable business impact
Steps for completing your project
After purchasing the project, send requirements so Suresh can start the project.
Delivery time starts when Suresh receives requirements from you.
Suresh works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Review your project goals, data sources (text, PDFs, CSVs, links), and preferred integration platform.
Data Preparation
Collect, clean, and structure your documents, knowledge base, or website content for chatbot training.