You will get AI Localization without using gps
Project details
This series of AI-driven image processing projects leverages advanced machine learning models, including Convolutional Neural Networks (CNN), Autoencoders, and Self-Organizing Maps (SOM), to solve real-world problems by analyzing visual data. These projects focus on key applications such as disease detection through hand gestures, mask detection for health safety, and localization without GPS. The combination of computer vision and deep learning models enables efficient and accurate solutions across different domains, from healthcare to public safety.
Key Projects:
Hand Gesture Disease Detection: This model analyzes hand gestures to detect early signs of diseases like arthritis or tremors. It combines CNN for image feature extraction and Feedforward Neural Networks (FNN) for processing numerical health data, creating a multimodal model that improves diagnostic accuracy. The system can be used by healthcare professionals to provide quick and reliable disease predictions based on hand gestures and patient information.
Key Projects:
Hand Gesture Disease Detection: This model analyzes hand gestures to detect early signs of diseases like arthritis or tremors. It combines CNN for image feature extraction and Feedforward Neural Networks (FNN) for processing numerical health data, creating a multimodal model that improves diagnostic accuracy. The system can be used by healthcare professionals to provide quick and reliable disease predictions based on hand gestures and patient information.
Machine Learning Tools
Keras, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlowWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$1,500
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Model Variations | 1 | ||
Number of Scenarios | 1 | 2 | 2 |
Number of Graphs/Charts | 10 | 10 | 10 |
Model Validation/Testing | - | - | |
Model Documentation | - | - | |
Data Source Connectivity | - | - | |
Source Code | - | - |
About Tauqeer
AI Agent Engineer | RAG & LLM Systems | LangChain, FastAPI, OpenAI
Rawalpindi, Pakistan - 9:07 am local time
I build autonomous and semi-autonomous agents that plan, reason, and interact with tools, APIs, and external systems. My work covers the full agent lifecycle: orchestration, tool-calling, memory management, and retrieval integration using LangChain-based frameworks and custom multi-agent architectures. I have deep hands-on experience building RAG pipelines end-to-end chunking strategies, embedding generation, vector store indexing (Pinecone, MongoDB Vector Search), retrieval tuning, and reranking to ground LLM outputs in real data.
Core stack: LangChain, OpenAI API (GPT-4, Realtime API), Claude AI, FastAPI, Python, Docker, Kubernetes, Azure, AWS, MongoDB, Redis, GitHub Actions CI/CD.
I've shipped production systems serving 50,000+ monthly requests at 99% uptime, including a full-duplex voice AI agent (OpenAI Realtime API + Twilio + LiveKit), a multi-agent legal document system, and semantic search agents for live platforms. I also build evaluation and observability frameworks — structured logging, latency monitoring, retrieval accuracy evaluation to keep AI systems reliable at scale.
Beyond agent systems, I have a strong backend engineering foundation: async REST APIs and microservices with FastAPI/Flask/Django, database integrations (MongoDB, Redis, MySQL), and workflow automation with n8n.
I'm also experienced in classic ML/CV (classification, regression, CNNs, TensorFlow/Keras) from earlier projects, if your use case needs it.
If you're looking for someone who can take an AI agent from architecture to production not just a prototype let's talk about your project.
Steps for completing your project
After purchasing the project, send requirements so Tauqeer can start the project.
Delivery time starts when Tauqeer receives requirements from you.
Tauqeer works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering and Data Collection
Data Preprocessing