
7
3
Pakistan
1 year of experience
AI/Ml Engineer|Participant in M(IT)^2 winter Coding contest 2025|Participant in CALICO Coding compitition fall, 2024 |Participant in Advent of code 2024 | DSA & GenAi Enthusiast

Problem: Small to Medium Businesses (SMBs) struggle with personalized, scalable outreach due to limited resources. Current solutions are often too complex, lacking the autonomous intelligence needed for dynamic campaign execution. Solution: We built The SMB Sales & Marketing Squad, a cohesive multi-agent system. The workflow starts with the Lead Generation Agent, which uses Apify for targeted data collection and Apollo API for lead enrichment and verification. The Marketing Content Agent applies AI/ML to generate hyper-personalized content. Finally, the Sales Outreach Agent executes the campaign via Gmail and logs all activities to a Google Sheet (acting as the CRM/database). Target Audience: Non-technical SMB owners, solo-preneurs, and small sales/marketing teams. Unique Features/Benefits: The entire system is managed via a unified, user-friendly dashboard built using Lovable AI's free tier. This provides a crucial "human-in-the-loop" oversight for content approval and campaign monitoring. By connecting powerful, accessible tools like Lovable AI, Apollo, Apify, and Google's free services, the project demonstrates an affordable, end-to-end, and highly functional solution perfect for the Internet of Agents theme.
21 Sep 2025
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PoliBot is an advanced global crisis negotiation simulator built using Python and Streamlit. The core idea is to model complex international relations and decision-making during various global emergencies (like climate collapse, pandemics, or energy crises) using autonomous AI agents. Each agent represents a specific country (e.g., USA, China, India, EU, Pakistan), equipped with a unique profile detailing its strengths, weaknesses, and national interests. Leveraging the Groq API and the Llama3 language model, these agents analyze the ongoing scenario, consult their recent memory of interactions, and decide on diplomatic actionsβsuch as proposing deals, building alliances, or raising concernsβto best serve their country's objectives. The simulation dynamically tracks key global metrics (Peace Index, Economic Growth, COβ Emissions, etc.) and visualizes the evolving diplomatic network and relationships between nations using NetworkX and Matplotlib. Users can configure the scenario, participating nations, simulation speed, and other parameters, observing how AI-driven diplomacy unfolds turn by turn. The project demonstrates the potential of LLMs in simulating complex multi-agent systems and geopolitical dynamics.
1 May 2025

Our project, DeepSeek Web Assistant, is a powerful AI-driven browser extension designed to make web browsing more interactive and insightful. With this extension, users can: --Summarize web pages instantly using DeepSeekβs AI models. --Ask questions about web content and receive relevant answers. --Use the "Highlight to Ask" feature, allowing them to highlight text and ask questions related to the selected content. --Interact with research papers, articles, and general web pages to extract key insights efficiently. --Seamlessly integrate AI-powered search and summarization into their browsing experience. This tool is particularly useful for students, researchers, and professionals who need quick, precise information while browsing the web.
16 Feb 2025