You will get a Real-Time Multimodal AI System with Vision, Speech & LLM Integration
Rising Talent
Project details
🚀 Build a production-ready Real-Time Multimodal AI System that intelligently combines Computer Vision, Speech Processing, and Large Language Models into one powerful pipeline.
I design and develop low-latency AI systems capable of detecting human actions (YOLO / MediaPipe), processing spoken input (STT), and applying contextual reasoning through LLMs, all integrated into a scalable architecture ready for deployment.
Whether you're building a smart surveillance system, industrial automation platform, XR training assistant, or safety intelligence engine, I create structured, deterministic AI outputs with clear reasoning and measurable performance metrics.
💡 What you can expect:
• Real-time vision + speech integration
• Context-aware LLM reasoning
• Structured JSON responses
• Cloud-ready deployment support (AWS)
• Latency benchmarking & performance evaluation
📩 Ready to deploy intelligent multimodal AI? Let’s build your system the right way.
I design and develop low-latency AI systems capable of detecting human actions (YOLO / MediaPipe), processing spoken input (STT), and applying contextual reasoning through LLMs, all integrated into a scalable architecture ready for deployment.
Whether you're building a smart surveillance system, industrial automation platform, XR training assistant, or safety intelligence engine, I create structured, deterministic AI outputs with clear reasoning and measurable performance metrics.
💡 What you can expect:
• Real-time vision + speech integration
• Context-aware LLM reasoning
• Structured JSON responses
• Cloud-ready deployment support (AWS)
• Latency benchmarking & performance evaluation
📩 Ready to deploy intelligent multimodal AI? Let’s build your system the right way.
Machine Learning Tools
BERT, ChatGPT, GitHub Copilot, GPT-3, NumPy, pandas, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$450
|
Standard
$1,250
|
Advanced
$2,800
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 0 | 4 | 4 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About Dostar
AI/ML Engineer | Gen AI, RAG, LLM | Computer Vision Specialist
Lahore, Pakistan - 3:58 pm local time
✅ 50+ LLM & Multimodal AI Projects Delivered
✅ Expert in Real-Time AI & Computer Vision
I am an AI/ML Engineer with 3+ years of experience delivering production-ready AI systems across Generative AI, Computer Vision and real-time multimodal architectures. I help startups and enterprises move AI from prototypes to production with scalable, efficient, and reliable pipelines. I specialize in designing and deploying end-to-end AI solutions, from model development and fine-tuning to cloud deployment and real-time inference.
𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤
Languages: Python, Bash
ML/DL: PyTorch, TensorFlow, Scikit-Learn, XGBoost
LLMs & GenAI: Transformers, LangChain, RAG, OpenRouter, Hugging Face
Computer Vision: YOLOv8, MediaPipe, OpenCV, Vision-Language Models
Speech AI: STT/TTS pipelines, audio processing
Cloud & Infra: AWS EC2 (GPU/CPU), Lambda, S3, Bedrock, Kinesis
MLOps & Tools: CUDA, Git, Linux, Jupyter, CI/CD-ready pipelines
𝗪𝗵𝗮𝘁 𝗜 𝗕𝘂𝗶𝗹𝗱
✔ LLM & RAG Systems (LangChain, OpenRouter, vector databases)
✔ AI Chatbots with structured outputs & deterministic JSON responses
✔ Multimodal AI (Vision + Speech + Language integration)
✔ Real-time Computer Vision systems (YOLOv8, MediaPipe, OpenCV)
✔ Generative AI pipelines (Stable Diffusion, LoRA fine-tuning, text-to-image)
✔ Predictive & Time-Series Modeling (ARIMA, Prophet, Ensemble ML)
✔ Cloud AI Infrastructure (AWS EC2 GPU, Lambda, S3, Bedrock, Streaming APIs)
𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗔𝗜 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀
✔LLM-Powered RAG Systems
Built domain-specific AI assistants using vector embeddings, schema validation, and structured reasoning pipelines for accurate context-aware responses.
✔AI Smart Surveillance System
Developed real-time detection models (fire, aggression, fall detection) using YOLOv8 with optimized inference and event tracking.
✔Generative AI Monogram System
Fine-tuned Stable Diffusion (full + LoRA) to generate production-ready artistic designs for 3D printing workflows.
✔Medical Image Registration & Segmentation
Applied rigid and affine transformations with mutual information optimization for anatomical CT alignment.
✔Environmental Forecasting Models
Implemented ARIMA and ensemble ML models for pollutant trend prediction and analysis.
📍Looking to build AI systems, LLM-powered assistants or real-time multimodal solutions in weeks, not months? Let’s schedule a 𝗙𝗿𝗲𝗲 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻, your AI partner is just a message away! ✉️
Steps for completing your project
After purchasing the project, send requirements so Dostar can start the project.
Delivery time starts when Dostar receives requirements from you.
Dostar works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Discovery
We discuss your use case, scenarios, latency constraints, and deployment goals to define the system architecture clearly.
Architecture Design
I design a multimodal pipeline integrating Vision (YOLO/MediaPipe), Speech (STT), and LLM reasoning with structured outputs.