You will get AI Reserach Gap Finder
Project details
AI Research Gap Finder in this project to a working is tools. This is tools to researcher in market. This is very industry and education tools are free in market open source.
Machine Learning Tools
BERT, ChatGPT, Fiddler.ai, Google AutoML, Google Data Studio, Google Sheets, GPT-3, MATLAB, Microsoft CNTK, Microsoft Power BI, NLTK, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, pandas, Python, PyTorch, R, SAS, scikit-learn, SciPy, SQLWhat's included $40
These options are included with the project scope.
$40
- Delivery Time 3 days
- Number of Revisions 4
- Number of Model Variations 3
- Number of Scenarios 2
- Number of Graphs/Charts 5
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
About Muhammmad Yousaf
AI Engineer | GPT API | RAG Chatbots | AI Agents | Auto | Python | n8n
Multan Cantt, Pakistan - 7:42 pm local time
I build complex, production-ready AI systems, not just simple workflow automations or ChatGPT wrappers. My focus is on integrating Generative AI, AI Agents, and workflow automation to streamline operations and reduce manual work. Using OpenAI GPT-4/5, Python, and modern automation tools, I help businesses turn AI into scalable, real-world solutions.
Core Expertise
Generative AI & Custom GPT Systems
Custom GPTs tailored to business workflows
OpenAI GPT-4/5, GPT-4o, Gemini integration
Structured outputs, JSON schema control, advanced prompt engineering
Fine-tuning using LoRA / QLoRA / PEFT
Deployment of open-source models such as LLaMA and Qwen
AI Agents & Intelligent Automation
Multi-step AI Agents using LangChain, LangGraph, and CrewAI
Tool-calling agents with real-time decision workflows
ReAct and Plan-and-Execute architectures
CRM and business system integrations
Automated reasoning, task execution, and data processing
Advanced RAG & Knowledge Systems
Retrieval-Augmented Generation (RAG) pipelines
Vector databases: Pinecone, pgvector, Chroma, Redis
Hybrid search (semantic + keyword)
Long-term memory and internal knowledge assistants
Workflow & Backend Automation
Python-based backend automation
API integration and webhook orchestration
n8n, Make, and Zapier automation
End-to-end business process automation
Backend & Software Development
FastAPI / Flask backend services
Scalable microservices architecture
AWS (EC2, Lambda, ECS, S3, RDS) and Google Cloud deployment
Docker (including GPU/CUDA environments)
Production-ready AI infrastructure
Frontend & Full Solution Delivery
Lightweight frontend interfaces for AI tools and dashboards
Admin panels and user interaction layers
End-to-end software development from UI to backend and AI logic
Voice AI & Communication Automation
Voice agents using Twilio and VAPI
Real-time call handling and routing
Outbound AI calling for lead qualification and intake
Common Business Use Cases
AI customer support and chat automation
AI-powered lead processing and CRM automation
Internal knowledge assistants and enterprise search
Document analysis, extraction, and summarization
Voice AI for sales and operations
End-to-end AI workflow and backend automation
What You Can Expect
Production-focused solutions (not experimental demos)
Clean architecture and scalable backend systems
Cost-efficient model and infrastructure design
Clear communication and reliable delivery
If you’re looking for an AI Automation Engineer who can combine Generative AI, backend systems, and automation into a working product, feel free to reach out.
How I Work:
Free initial message to understand your use case
Clear scope and realistic cost estimate
Optional call before moving forward
I’m also a former Aerospace Engineer and founder of Gless AI, a Toronto-based AI agency. I’ve built and sold a business myself — so I understand that speed, clarity, and ROI matter more than fancy tech.
📩 Message me to book a free 30-min consultation to discuss your AI chatbot or agent.
Steps for completing your project
After purchasing the project, send requirements so Muhammmad Yousaf can start the project.
Delivery time starts when Muhammmad Yousaf receives requirements from you.
Muhammmad Yousaf works on your project following the steps below.
Revisions may occur after the delivery date.
Client purchases the project and sends requirements.
need of requirement
You complete the project following the steps that you add here.
step are following ai frame work UI embeding Data base testing