You will get an AI-powered DSA Solver built with Autogen & Gemini
Top Rated
Project details
The AI Powered DSA Solver automates the solving of a wide range of Data Structures and Algorithms problems using Microsoft Autogen and Google Gemini. It features an interactive Streamlit interface for easy problem input and solution viewing, is fully Dockerized for hassle free setup, and supports optional custom LLM integration for tailored problem solving. This combination of automation, AI driven reasoning, and ease of use makes it ideal for learners, interview preparation, and developers looking to efficiently generate accurate algorithmic solutions.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Enhanced Classification, AI-Generated Code, Conversational AI, Natural Language Understanding, Sequence ModelingAI Development Language
PythonAI Tools
Hugging Face, PyTorch, StreamlitAI Models
GPT-4What's included $50
These options are included with the project scope.
$50
- Delivery Time 5 days
- Number of Revisions 2
- AI Model Integration
- Detailed Code Comments
- Prompt Engineering
- Setup File
- Source Code
Optional add-ons
You can add these on the next page.
Fast 3 Days Delivery
+$10
Additional Revision
+$5
Custom LLM Integration
(+ 2 Days)
+$20
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JW
Jeff W.
Jan 2, 2026
AI social media automation
Really knowlegeable in AI and workflow. Project completed to my expectation. Will use his services again in the near future.
About Meet
AI Chatbot & Automation Dev | LLM, RAG, Voice Agent | n8n, AWS Bedrock
100%
Job Success
Gandhinagar, India - 2:16 am local time
📩 𝗟𝗲𝘁'𝘀 𝗯𝘂𝗶𝗹𝗱 𝘆𝗼𝘂𝗿 𝗻𝗲𝘅𝘁 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺. 𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗺𝗲 𝘁𝗼 𝗴𝗲𝘁 𝘀𝘁𝗮𝗿𝘁𝗲𝗱 𝘁𝗼𝗱𝗮𝘆.
🔹 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗙𝗿𝗲𝗲𝗹𝗮𝗻𝗰𝗲𝗿 on Upwork.
🔹 Availability: 20 hrs/week (Full-time or Part-time) | Open to long-term and enterprise AI projects.
🔹 2+ Years of Experience building AI chatbots, voice agents, and automation pipelines for startups and SaaS.
🔹 455+ Hours on Upwork | Focused on long-term client partnerships rather than one-off gigs.
My name is Meet Solanki, and I am an 𝗔𝗜 𝗖𝗵𝗮𝘁𝗯𝗼𝘁 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 focused on building production ready AI systems, not just prototypes.
🚀 𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱
• 𝗔𝗜 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 and conversational AI systems
• 𝗩𝗼𝗶𝗰𝗲 𝗔𝗴𝗲𝗻𝘁𝘀 using Deepgram, Amazon Polly, ElevenLabs, Twilio, and Vapi
• 𝗥𝗔𝗚 based knowledge assistants and document Q&A systems
• 𝗟𝗟𝗠 powered applications and AI agents
• 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 workflows using n8n, Zapier, and Make
• 𝗣𝘆𝘁𝗵𝗼𝗻 backends and AI microservices using FastAPI and Flask
🤖 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 𝗜 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵
• OpenAI (GPT-4o, Realtime API)
• Anthropic Claude
• Google Gemini
• AWS Bedrock
• HuggingFace
• Azure OpenAI
🧠 𝗖𝗼𝗿𝗲 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀
𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 and 𝗠𝘂𝗹𝘁𝗶 𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀
• LangChain
• LangGraph
• CrewAI
• AutoGen
• OpenAI Agents SDK
𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 and 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗴𝗲𝗻𝘁𝘀
• Twilio
• Vapi
• Deepgram
• ElevenLabs
• Amazon Polly
𝗥𝗔𝗚 and 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀
• FAISS
• ChromaDB
• Pinecone
• Qdrant
• Weaviate
• LlamaIndex
⚙️ 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻
I design automation systems that combine 𝗔𝗜, 𝗔𝗣𝗜𝘀, and 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀.
• n8n
• Zapier
• Make
• API integrations
• Email and messaging pipelines
🛠 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁
• Python
• FastAPI
• Django
• Flask
• WebSockets
• REST APIs
• MongoDB
• PostgreSQL
• Firebase
☁️ 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 and 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲
• AWS Bedrock and EC2
• Google Cloud Platform
• Docker
• Gunicorn
• Nginx
• SSL deployment
⚙️ 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸
• Clear communication
• Clean, maintainable code
• Practical engineering solutions
• Systems designed for real world usage, not just demos
📩 𝗟𝗲𝘁'𝘀 𝗪𝗼𝗿𝗸 𝗧𝗼𝗴𝗲𝘁𝗵𝗲𝗿
If you are building AI chatbots, voice agents, RAG knowledge platforms, or automation systems, feel free to reach out. I would be happy to discuss your project.
Best regards,
Meet Solanki
KEYWORDS: AI Chatbot Development, Conversational AI, Voice Agent Development, AI Voice Bot, RAG, Retrieval Augmented Generation, LLM Integration, OpenAI API, ChatGPT API, Claude API, Google Gemini API, AWS Bedrock, Generative AI, AI Automation, n8n Automation, Zapier Automation, Make Automation, Workflow Automation, Business Process Automation, Vector Databases, Pinecone, ChromaDB, FAISS, Qdrant, Weaviate, LlamaIndex, LangChain, LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Multi Agent Systems, Twilio, Vapi, Deepgram, ElevenLabs, Amazon Polly, Python, FastAPI, Flask, Django, REST APIs, AI Microservices, MongoDB, PostgreSQL, Firebase, Docker, AI Deployment, AI System Architecture, MCP / Model Context Protocol
Steps for completing your project
After purchasing the project, send requirements so Meet can start the project.
Delivery time starts when Meet receives requirements from you.
Meet works on your project following the steps below.
Revisions may occur after the delivery date.
Setup Environment
Docker and Streamlit are configured, and the chosen LLM (Gemini or custom) is integrated for accurate solution generation.
Run and Test
The system is run with your DSA problems, ensuring solutions are correct and any requested customizations are applied.


