You will get an AI-powered task management automation 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 Agent Developer | RAG Systems & LLM Automation | Python
Gilgit, Pakistan - 6:18 pm local time
The problems I solve:
Information silos: Your team wastes hours digging through drives and legacy docs. I build RAG chatbots that answer instantly from your PDFs and SOPs, with cited sources.
Repetitive task bottlenecks: I engineer autonomous agents (LangGraph, CrewAI, LangChain) that reason through tasks, trigger backend actions, and plug into your CRM.
Unstructured data traps: Thousands of scanned forms, invoices, or medical records? My OCR and vision pipelines (LayoutLM, YOLOv8) extract and validate data straight into your database.
Recent work: a medical RAG chatbot with document upload and automatic quiz generation; a document extraction pipeline combining object detection and OCR for scanned forms; and custom vision models (YOLOv8, EfficientNet) deployed for KYC and medical imaging at 90%+ accuracy. I bring 2+ years as an ML Engineer at BeeNeural, and I'm certified in Agentic AI with LangChain and LangGraph (Coursera) and RAG application development.
Stack: GPT-4o, Claude, LangChain, LangGraph, CrewAI, LlamaIndex, Pinecone, ChromaDB, Weaviate, FastAPI, Docker, AWS, GCP, Salesforce, HubSpot, Twilio, Slack, n8n
How I work: No jargon. I translate LLM architecture into business logic. Production-first: maintainable code, data privacy compliance, human-in-the-loop safeguards, and HIPAA-aware builds for regulated industries. End-to-end: from architecture to cloud deployment.
Ready to see what's buildable? Message me with the operation eating your team's time and I'll give you a straight, no-sales-pitch engineering answer, free of charge.
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).