Muhammad Qasim@m_qasim

The AI-Powered Youth Engagement Hub uses xAI’s Grok model to analyze and categorize youth-submitted ideas, aligning them with government priorities. Interactive submission portals empower youth to propose solutions with tools like templates and examples. A collaborative decision-making dashboard enables officials to review, discuss, and prioritize ideas through voting, feedback, and analytics. Sector-specific challenges address key areas such as public health, education reform, and climate adaptation, encouraging targeted, innovative solutions. Recognition dashboards showcase implemented ideas, track their impact, and celebrate youth contributions, fostering engagement and measurable progress.

Maa Connect is a lightweight, multilingual AI-powered network management assistant designed to empower teachers and non-technical users in underserved rural and remote communities. The platform provides accessible learning resources on network management and optimization while enabling users to address simple network issues independently. By focusing on computational efficiency and adaptability, Maa Connect aims to bridge the digital divide and ensure uninterrupted access to online education. Key Features Network Learning Platform: Offers user-friendly resources to help users understand network management concepts and best practices. AI Network Assistant: Provides step-by-step guidance for troubleshooting and fixing common network issues. Multilingual Support: Ensures accessibility by supporting multiple languages, catering to the linguistic diversity of target communities. Lightweight and Efficient: Designed for low-resource environments, requiring minimal computational power. Adaptability: Configurable for diverse network setups and requirements. Problem Statement Many underserved communities face restricted access to network management knowledge and skilled practitioners. When network problems occur, internet-dependent education often halts for extended periods, disrupting learning. Maa Connect addresses this by equipping users with essential skills and tools to maintain and optimize their networks, overcoming linguistic and cultural barriers.

The AI-Powered Personal Finance Assistant is a smart budgeting tool designed to help users gain control over their spending habits. Built with Streamlit, PyMuPDF, and the Deepseek V3 model (via Camel framework), this app analyzes transactions from uploaded credit card statements (PDFs). It categorizes expenses into needs, wants, and savings using the 50/30/20 rule and applies zero-based budgeting for smarter fund allocation. Additionally, it flags excessive spending patterns and offers actionable recommendations to improve financial habits. Key Features: ✅ AI-Powered Insights: Uses Deepseek V3 via Camel for personalized spending analysis with enhanced accuracy. ✅ Smart Budgeting: Applies the 50/30/20 rule and zero-based budgeting principles. ✅ Interactive Interface: Built with Streamlit for easy data uploads. ✅ Sample Data Support: Users can test the tool with sample statements provided. ✅ Actionable Recommendations: Provides clear steps to cut unnecessary expenses and save more. Tech Stack: Frontend: Streamlit Backend: Python (PyMuPDF, Camel framework) AI Model: Deepseek V3 Budgeting Principles: 50/30/20 Rule, Zero-based Budgeting Impact Statement: This tool empowers users with clear, actionable insights to build better financial habits, reduce overspending, and increase savings. It makes personal finance management accessible, intuitive, and data-driven, fostering long-term financial well-being.