You will get an AI-Powered Task Management System
Project details
You will get a fully AI-driven Daily Task Management System (DTMS) designed to automate project handling, task distribution, finance allocation, time tracking, and reporting with minimal human input. Unlike traditional management tools, DTMS requires only a project title, description, and budget — the AI handles everything else. With expertise in React, Python, and scalable cloud-native systems, I ensure your platform is fast, secure, and future-ready. What sets this project apart is the automation-first approach: 90%+ of workflows managed by AI, predictive insights for risk and performance, and real-time dashboards for transparency. The solution is built for growing freelance organizations, ensuring fair finance distribution, balanced workloads, and reliable reporting. You’ll receive a complete system roadmap, tested modules, and a smooth deployment, making DTMS a next-generation tool that transforms productivity, accuracy, and scalability for your business.
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Performance Optimization, Security, DesignWhat's included
| Service Tiers |
Starter
$150
|
Standard
$250
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 0 | 0 | 0 |
Design Customization | |||
Content Upload | - | - | |
Responsive Design | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $50Frequently asked questions
About Fakhar Imam
AI Engineer | RAG Chatbots, AI Agents & Document AI Specialist
Gilgit, Pakistan - 1:39 am local time
I am Fakhar, an AI Engineer specializing in RAG Chatbots, Autonomous AI Agents, and Document AI (OCR + Object Detection). I build custom Python-based solutions for healthcare clinics, document-heavy SMBs, and fast-moving startups that need automation they can trust in production.
✅ What I Have Shipped
→ RAG chatbots (GPT-4o + Claude 3.5) — answers grounded in your company data with source citations, zero hallucinations
→ Autonomous AI agents (LangGraph + CrewAI) — qualifying leads, updating CRMs, triggering downstream actions without human intervention
→ Document AI pipelines (YOLOv8 + Tesseract + EasyOCR) — structured extraction from invoices, ID cards, medical forms, and contracts with confidence scoring and validation logic
→ Computer Vision models (YOLOv8, EfficientNetB5) — deployed for KYC, medical imaging, quality control, and inventory detection with 90%+ accuracy on custom datasets
→ End-to-end systems on AWS and GCP — error handling, retry logic, logging, and async processing built in from day one
🔹 RAG Chatbots & Intelligent Assistants
Your team spends hours hunting through PDFs, wikis, and shared drives for answers that should take seconds. I build assistants that read your company data and respond instantly with accurate, cited answers — eliminating repetitive queries and cutting support load significantly.
Tech: LangChain, LlamaIndex, Pinecone, ChromaDB, FAISS, OpenAI, Anthropic Claude, hybrid search, semantic chunking.
Use Cases: Internal knowledge bases, customer support bots, legal and medical research assistants, HR onboarding, documentation Q&A.
🔹 AI Agents & Workflow Automation
Agents that act, not just talk. I engineer multi-step autonomous agents that research, generate reports, qualify leads, update your CRM, and trigger actions across tools — while you focus on higher-value work. Built with guardrails, human-in-the-loop checkpoints, and error recovery.
Tech: LangGraph, CrewAI, MCP, tool calling, structured JSON outputs, REST APIs, webhooks, n8n, Make.
Use Cases: Lead qualification, automated reporting, email triage, multi-tool research agents, CRM and ERP automation.
🔹 Document AI & Extraction Pipelines
Your business is sitting on unstructured data locked in PDFs, scanned forms, and legacy documents. I build OCR pipelines that extract and validate that information — with confidence scoring and clean structured output ready for your database. No manual cleanup required.
Tech: YOLOv8, Tesseract, EasyOCR, LayoutLM, PaddleOCR, OpenCV, custom validation layers.
Use Cases: Invoice automation, KYC verification, medical record digitization, insurance claims, real estate document extraction.
🔹 Computer Vision Solutions
Custom-trained models for medical imaging, quality control, identity verification, and inventory detection. I match the architecture to your dataset and accuracy requirements — so the model performs in your environment, not just on benchmarks.
Tech: OpenCV, PyTorch, TensorFlow, YOLOv8, MobileNetV2, EfficientNetB5.
⚙️ Technical Stack
LLMs & AI: GPT-4o, Claude 3.5 Sonnet, Gemini, Llama 3, Mistral, Hugging Face, fine-tuning, prompt engineering
RAG & Agents: LangChain, LangGraph, LlamaIndex, CrewAI, Pinecone, ChromaDB, FAISS, Weaviate, Qdrant
CV & OCR: YOLOv8, OpenCV, EfficientNet, Tesseract, EasyOCR, LayoutLM, PaddleOCR
Backend: Python, FastAPI, Flask, Docker, AWS, GCP, Redis, Celery
Integrations: HubSpot, Salesforce, Twilio, WhatsApp API, Google Workspace, Zapier, Make, n8n
✅ Why Clients Choose Me
Engineering-first: Every system I deliver includes proper error handling, retry logic, rate-limit management, and deployment-ready packaging — reliable at scale, not just on the demo call.
Direct access: You get me building your system. No account managers, no handoffs, no surprises.
Production mindset: I design for maintainability, data security, and scalability — not quick fixes that create technical debt later.
Have a document workflow to automate, a repetitive operation eating your team's time, or an AI use case to validate? Message me with a brief description. I will tell you within 24 hours whether it is buildable, how I would approach it, and a realistic scope. No sales pitch — just a straight technical answer.
Steps for completing your project
After purchasing the project, send requirements so Fakhar Imam can start the project.
Delivery time starts when Fakhar Imam receives requirements from you.
Fakhar Imam works on your project following the steps below.
Revisions may occur after the delivery date.
Collect Requirements
Gather project details including title, description, budget, team roles, and financial distribution preferences.
System Architecture Setup
Design the cloud-native architecture, initialize frontend (React) and backend (Python + AI engine).