You will get AI-Powered Business Chatbot & Knowledge Center
Project details
I developed an AI-Powered Business Knowledge & Support Assistant designed to help organizations centralize information, automate support, and improve internal productivity. Built using Angular, Spring Boot, and AWS/ Azure OpenAI, this intelligent assistant transforms company documents, SOPs, FAQs, and training materials into a searchable, conversational knowledge hub.
The solution enables employees, customers, and prospects to instantly access accurate answers through a secure AI chat interface. It supports role-based access (Admin, Employees, Customers), document upload and indexing, real-time chat responses, analytics dashboard, and conversation history tracking.
The system integrates with CRM, ERP, and internal databases, making it ideal for enterprises looking to reduce support workload, improve response time, and enhance knowledge accessibility.
With Azure AI services powering semantic search and LLM-based responses, the assistant ensures context-aware, reliable, and scalable performance.
This project is ideal for SaaS companies, healthcare organizations, manufacturing firms, and enterprises seeking an AI-driven digital knowledge center and automated support solution.
The solution enables employees, customers, and prospects to instantly access accurate answers through a secure AI chat interface. It supports role-based access (Admin, Employees, Customers), document upload and indexing, real-time chat responses, analytics dashboard, and conversation history tracking.
The system integrates with CRM, ERP, and internal databases, making it ideal for enterprises looking to reduce support workload, improve response time, and enhance knowledge accessibility.
With Azure AI services powering semantic search and LLM-based responses, the assistant ensures context-aware, reliable, and scalable performance.
This project is ideal for SaaS companies, healthcare organizations, manufacturing firms, and enterprises seeking an AI-driven digital knowledge center and automated support solution.
AI Algorithms
Long Short-Term Memory Network, Multimodal Large Language ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Understanding, Sentiment AnalysisAI Development Language
JavaAI Tools
Azure OpenAIAI Models
GPT-4What's included $1,499
These options are included with the project scope.
$1,499
- Delivery Time 10 days
- Number of Revisions 1
- AI Model Integration
- Database Integration
- MLOps
- Model Deployment
- Model Monitoring
- Model Testing & Optimization
- Model Tuning
- Natural Language Processing
- NLP Tokenization
- Pre-Training
- Prompt Engineering
- Setup File
About Amol
AI Engineer | LLM, RAG & AI Agents | Angular, Spring Boot |AWS SAA-C03
Pune, India - 3:08 am local time
I’m Amol Patil, an AI / ML Engineer with results-driven 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐉𝐚𝐯𝐚 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 specializing in Spring Boot, Angular, and integrating LLMs like 𝐎𝐩𝐞𝐧𝐀𝐈, 𝐀𝐧𝐭𝐡𝐫𝐨𝐩𝐢𝐜 𝐂𝐥𝐚𝐮𝐝𝐞 from Azure and AWS platform with other AI services. I help businesses build secure, scalable, and maintainable enterprise applications and AI-powered solutions.
🔹 Microsoft Certified Azure AI Engineer | AWS Certified Solutions Architect (SAA-C03)
🔹 Hands-on experience building LLM-based AI systems, including secure RAG architectures and AI agent development using AWS AI services
🔹 3+ years delivering AI-powered and full-stack solutions for startups, SaaS, and enterprise teams
🔹 Strong expertise in OpenAI, Claude, AutoGen, and production-grade RAG pipelines
🔹 Proven experience across FinTech and SaaS application and AI solution development
🧠 𝐖𝐡𝐚𝐭 𝐈 𝐇𝐞𝐥𝐩 𝐘𝐨𝐮 𝐂𝐫𝐞𝐚𝐭𝐞
🚀 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧
I design and build advanced AI agents powered by modern LLMs that can 𝐭𝐡𝐢𝐧𝐤, 𝐚𝐜𝐭, 𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞 with your systems. These agents don’t just chat — they can trigger APIs, automate workflows, pull data from multiple sources, and work seamlessly with tools like Slack, CRMs, internal portals, and analytics dashboards.
If you need an AI system that takes real actions and drives outcomes, not just generates text, I can help you build it end-to-end.
I also develop 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥-𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 (𝐑𝐀𝐆) 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 that combine large language models with real-time document search, structured databases, and internal knowledge bases — delivering accurate, context-aware responses for customer support, internal teams, and AI-driven products.
From 𝐝𝐨𝐦𝐚𝐢𝐧-𝐬𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐜𝐡𝐚𝐭𝐛𝐨𝐭𝐬 to 𝐞𝐧𝐝-𝐭𝐨-𝐞𝐧𝐝 𝐀𝐈 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, I focus on building reliable, secure, and scalable AI solutions that create measurable business impact.
𝐈𝐟 𝐲𝐨𝐮𝐫 𝐠𝐨𝐚𝐥 𝐢𝐬 𝐭𝐨 𝐭𝐮𝐫𝐧 𝐀𝐈 𝐢𝐧𝐭𝐨 𝐚 𝐫𝐞𝐚𝐥 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐚𝐬𝐬𝐞𝐭 — 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐠𝐞𝐭 𝐭𝐡𝐞𝐫𝐞.
🛠️ 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 & 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐘𝐨𝐮𝐫 𝐏𝐫𝐨𝐣𝐞𝐜𝐭
🧠 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐀𝐠𝐞𝐧𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭
I specialize in end-to-end AI engineering, from architecture to deployment. This includes:
• Action-driven AI agents
• Intelligent AI applications
• GPT-powered chatbots and assistants
• API and tool-integrated AI systems
• AI consulting and solution design
My focus is always on 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐨𝐮𝐭𝐜𝐨𝐦𝐞𝐬, not just AI demos.
🧩 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 (𝐀𝐧𝐠𝐮𝐥𝐚𝐫 + 𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭)
Beyond AI, I build robust enterprise-grade applications using:
• 𝐀𝐧𝐠𝐮𝐥𝐚𝐫 for modern, responsive frontend applications
• 𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭 for secure, scalable backend services and APIs
This allows me to deliver 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬, not just isolated AI components.
💬 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬-𝐅𝐨𝐜𝐮𝐬𝐞𝐝 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬
I design and deploy 𝐝𝐨𝐦𝐚𝐢𝐧-𝐬𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐜𝐡𝐚𝐭𝐛𝐨𝐭𝐬 tailored for real use cases such as:
• Customer support & self-service
• Internal automation & employee assistance
• Social media and engagement workflows
Each chatbot is integrated with your backend systems, data sources, and cloud infrastructure.
☁️ 𝐂𝐥𝐨𝐮𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 & 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 (𝐀𝐖𝐒 – 𝐒𝐀𝐀-𝐂𝟎𝟑)
As an AWS Certified Solutions Architect (SAA-C03), I design cloud-native systems that are:
• Scalable and fault-tolerant
• Cost-optimized
• Secure and production-ready
My experience includes AWS services, serverless architectures, API-driven systems, and cloud-based AI deployments — ensuring your solution is ready to scale from day one.
🤖 𝐋𝐋𝐌𝐬, 𝐀𝐈 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 & 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈
I work with modern large language models and agent frameworks to build production-grade AI systems, not experiments. My experience includes designing solutions using GPT-4–class models, Claude, LLaMA, LangChain, LlamaIndex, AutoGen, and Agent-based architectures — covering RAG pipelines, Generative AI, and NLP use cases.
These systems are built for 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲, 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧.
Steps for completing your project
After purchasing the project, send requirements so Amol can start the project.
Delivery time starts when Amol receives requirements from you.
Amol works on your project following the steps below.
Revisions may occur after the delivery date.
Setup AWS or Microsoft Azure account
We will setup AWS or Microsoft Azure account as per client requirement and setup monitoring.
Deploy our Application
We will deploy our AI-Powered Business Chatbot & Knowledge Center on AWS or Azure.