Musfira Owais
I build web apps & AI automation that save you time.
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AI-Powered Sales & Marketing Assistant:
Built an AI-powered Sales & Marketing Assistant that helps businesses grow through smarter, automated conversations. This tool acts as a virtual sales and marketing agent engaging leads, optimizing campaigns, and generating actionable insights, all through natural conversation.
Key features include an AI chat assistant for instant customer engagement, automated lead generation, real-time campaign performance tracking, and smart outreach for better audience targeting. Since launch, it has driven a 128% increase in leads generated, 85% campaign success rate, and a 42% boost in engagement.
The goal was simple: replace manual, time-consuming marketing tasks with an intelligent system that talks to customers, understands their needs, and helps businesses convert conversations into real growth faster, smarter, and at scale.
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š„ Project Title: Adzviser ā AI-Powered Marketing & Sales Data Assistant
Short Description (one-liner):
An AI-driven analytics platform that lets marketers talk to their data using ChatGPT, Claude & Gemini ā turning complex ad performance into instant, actionable insights.
Full Description:
Adzviser is a conversational AI tool designed to help marketers and business owners understand their marketing & sales data intuitively ā without needing to build reports or dig through dashboards manually.
Key Features I Built:
š¤ Multi-LLM Integration ā Seamlessly connected ChatGPT, Claude, and Gemini so users can query their data in natural language and get instant, accurate answers
š Conversational Analytics ā Users can ask questions like "How much did we spend on Facebook and Google Ads last week?" and get real-time answers instead of manually pulling reports
š Automated Reporting ā One-click generation of campaign reports and best-selling item lists, saving hours of manual data analysis
šļø Voice Query Support ā Added voice input so users can simply speak their questions instead of typing
š MCP (Model Context Protocol) Support ā Integrated MCP to make the AI advisor more powerful and context-aware across connected data sources
šØ Clean, Intuitive UI ā Designed a simple chat-style interface so non-technical users (marketers, sales teams) can engage with complex data effortlessly
Tech Stack:
Full Stack Development | AI Automation | LLM Integration (OpenAI, Claude, Gemini) | MCP | Dynamic Dashboards | Voice AI
Outcome:
Reduced the time marketers spend analyzing ad spend and sales performance from hours to seconds ā turning raw campaign data into instant, conversational insights.
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