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Muhammad Abdullah
Full-stack & AI developer building scalable smart web apps
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Muhammad is ready for their next project!
PandaVoice is an AI powered survey and feedback platform designed to help businesses collect, analyze, and understand user insights beyond just numbers. The goal was to build a modern SaaS solution that combines survey creation, response management, and intelligent analytics into one seamless system.
One of the main challenges was transforming raw survey data into meaningful insights. Traditional tools only provide basic metrics, so I integrated AI using ChatGPT with a RAG based approach to analyze responses, detect sentiment, and highlight key pain points automatically. This made the platform more valuable for decision making.
Another challenge was designing a clean and intuitive dashboard for complex data. I created a user friendly interface with real time analytics, visual reports, and actionable summaries to help users quickly understand feedback.
The platform was built using MERN stack with ChatGPT integration and RAG architecture, delivering a scalable and intelligent survey SaaS product.
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GoLegal AI is an AI powered legal platform designed to help individuals and businesses create, review, and manage legal documents efficiently. The goal was to build a scalable system that simplifies complex legal workflows by combining document automation, AI assistance, and structured guidance into one platform.
One major challenge was ensuring legal accuracy while using AI. Generic responses were not reliable for legal use cases, so I implemented a RAG based system that retrieves relevant legal context from templates and documents before generating responses through ChatGPT. This ensured higher accuracy and trust in outputs.
Another challenge was simplifying complex legal processes into an intuitive user experience. I designed a clean workflow for document creation, editing, and review with step by step guidance, making it accessible even for non legal users.
The platform was built using MERN stack with ChatGPT integration, custom workflows, and document intelligence features, delivering a production ready AI legal SaaS solution.
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Kitabh is an AI powered writing and content platform designed for Arabic creators to publish, manage, and grow their content in a structured and engaging way. The goal was to build a modern system that combines blogging, social interaction, and productivity tools into one seamless experience.
The main challenge was creating a platform that supports Arabic content with a clean UX while also providing intelligent assistance instead of basic publishing tools. I solved this by implementing AI features using ChatGPT with a RAG based system that retrieves relevant context from user content to generate suggestions, summaries, and improvements.
The platform includes content feeds, writing tools, analytics, workshops, and social sharing features, all built with performance and scalability in mind.
Tech stack used includes MERN stack with ChatGPT integration and RAG architecture to deliver personalized and context aware AI assistance.
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Comply.ai (http://Comply.ai) is an AI powered compliance management platform designed to simplify how businesses handle policies, legal documents, and regulatory workflows. The goal was to build a centralized system where users can upload, organize, and analyze documents while automating compliance checks and receiving intelligent suggestions without manual effort. The client needed a scalable SaaS solution that improves efficiency, reduces risk, and minimizes human error.
A key challenge was ensuring AI responses were accurate and context aware instead of generic. To solve this, I implemented a RAG based architecture that retrieves relevant information from uploaded documents before generating responses through ChatGPT. This significantly improved reliability and made the system more practical for real world compliance use cases.
Another challenge was presenting complex compliance data in a simple and actionable way. I designed an intuitive dashboard with compliance scoring, issue detection, and clear insights.
The platform was built using MERN stack with ChatGPT integration, custom GPT modules, and document intelligence workflows.
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