You will get AI Bot For Daily Source for Fresh Cooked Food


Project details
Eatzy, a USA-based startup, transforms the meal delivery experience by leveraging AI, LLMs, and RAG to provide a seamless, intelligent, and personalized ordering system. With a focus on fresh, daily-cooked meals, Eatzy ensures effortless ordering, real-time menu updates, and optimized deliveries.
Key Features
✅ AI-Powered Food Recommendations – LLMs analyze preferences to suggest the best meal options.
✅ Smart Search with RAG – Find restaurants, meals, and dietary-specific options instantly.
✅ Optimized Delivery Scheduling – AI-enhanced logistics ensure on-time, efficient meal deliveries.
✅ Seamless API Integration – Real-time updates on menu availability, pricing, and order tracking.
✅ AI-Driven Support & Troubleshooting – Conversational AI assistant for user queries and issue resolution.
Key Features
✅ AI-Powered Food Recommendations – LLMs analyze preferences to suggest the best meal options.
✅ Smart Search with RAG – Find restaurants, meals, and dietary-specific options instantly.
✅ Optimized Delivery Scheduling – AI-enhanced logistics ensure on-time, efficient meal deliveries.
✅ Seamless API Integration – Real-time updates on menu availability, pricing, and order tracking.
✅ AI-Driven Support & Troubleshooting – Conversational AI assistant for user queries and issue resolution.
AI Algorithms
AdaBoost, AlexNet, Autoencoder, Convolutional Neural Network, CycleGAN, Deep Belief Network, Feedforward Neural Network, Gated Recurrent Unit, Large Language Model, Linear Discriminant AnalysisAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AI-Enhanced Medical Imaging, AI-Generated Art, AI-Generated Code, AI-Generated Music, AI-Generated Video, AIOpsAI Development Language
PythonAI Tools
Adobe Firefly, Azure OpenAI, Bing AI, Copy.ai, GitHub Copilot, Gradio, Hugging Face, Jasper AI, Microsoft 365 Copilot, Microsoft CNTKAI Models
AlphaCode, BERT, BLOOM, ChatGPT, DALL-E, Dolly, GPT-3, GPT-4, GPT-J, GPT-Neo, Jurassic-2, LaMDAWhat's included $300
These options are included with the project scope.
$300
- Delivery Time 3 days
- 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
About Vikas
AI Developer | Gen AI | LLM | LangGraph | AI Voice Agent | RAG | AI
Ghaziabad, India - 8:09 am local time
𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 𝟴+ 𝗬𝗲𝗮𝗿𝘀 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗥𝗮𝘁𝗲
→ Top 1% Freelancer on Upwork with $700+ in total earnings
→ 100% Job Success Rate verified across 80+ completed projects
→ Top 4% overall contributor on Stack Overflow
→ AWS & Python Certified | Enterprise AI Architect | Available 50+ hours/week
Greetings! I am Vikas Kumar, a Senior AI Engineer and Full-Stack Architect with over 8+ years of experience engineering production-grade AI solutions, agentic workflows, and full-stack software.
I bridge the gap between cutting-edge Artificial Intelligence and commercial-grade software. Whether you need autonomous multi-agent orchestration, ultra-low latency Voice AI bots, advanced GraphRAG pipelines, or custom fine-tuned LLMs, I deliver scalable, secure, and maintainable enterprise AI applications.
𝗖𝗼𝗿𝗲 𝗔𝗜 & 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀
→ Autonomous Multi-Agent Systems: Designing stateful, deterministic agentic workflows using LangGraph, CrewAI, and AutoGen for complex enterprise decision logic, tool calling, and human-in-the-loop approvals.
→ Production Voice AI Agents: Building real-time, low-latency conversational voice bots using LiveKit, Vapi, Retell AI, ElevenLabs, and Deepgram.
→ Advanced RAG & GraphRAG Pipelines: Engineering hybrid semantic search, corporate knowledge graphs, and multi-stage reranking engines (LlamaIndex, LangChain) to achieve zero-hallucination document intelligence.
→ Custom MCP Servers & Tool Calling: Building Model Context Protocol (MCP) integrations to safely connect LLMs to internal databases, APIs, and business systems.
→ LLM Fine-Tuning & Inference Optimization: Fine-tuning open-weight models (DeepSeek-R1, Llama 3.3, Mistral) using Unsloth, Axolotl, PEFT/LoRA, and vLLM to cut external API costs by up to 70%.
→ Full-Stack GenAI Web & Mobile Apps: Developing modern Next.js/React frontends with scalable Python (FastAPI, Django) and Node.js backends.
𝗗𝗲𝗲𝗽 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲
• GenAI & Agent Frameworks: LangGraph | LangChain | CrewAI | AutoGen | LlamaIndex | Model Context Protocol (MCP) | Prompt Engineering | Tool Calling
• Cloud AI & Foundations: OpenAI API | Anthropic Claude | AWS Bedrock | AWS SageMaker | Hugging Face | Google Gemini API
• Open-Weight LLMs & Serving: DeepSeek-R1 | Llama 3.x / Llama 4 | Mistral | vLLM | TensorRT-LLM | Quantization (GGUF, AWQ, EXL2)
• Voice AI & Streaming: Vapi | LiveKit | ElevenLabs | Retell AI | Deepgram | Whisper API
• Vector Stores & Databases: Qdrant | Pinecone | Weaviate | Milvus | PostgreSQL (pgvector) | Redis Caching
• Backend & Data Pipelines: Python (FastAPI, Django, Flask) | Node.js (Nest.js, Express) | Celery | Web Scraping (Playwright, BeautifulSoup)
• Frontend & Mobile: Next.js | React.js | TypeScript | Tailwind CSS | React Native (iOS / Android)
• LLMOps, DevOps & Observability: Langfuse | Arize Phoenix | Docker | Kubernetes | AWS (EC2, S3, Lambda) | CI/CD Pipelines
𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 Choose 𝗧𝗼 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲
1. Production-Ready Code: I build maintainable, commercially viable software, not fragile proofs-of-concept.
2. End-to-End Ownership: From model architecture and vector storage to frontend UI and cloud deployment.
3. Speed & Communication: Fast turnaround times, transparent updates, and clean documentation.
Let’s solve your engineering bottlenecks and build something incredible.
📩 Send me a message or invite me to apply for your project today!
Best regards
Vikas
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source code