
10
2
Pakistan
1 year of experience
I am Muhammad Kaleem, a frontend developer and software engineer with expertise in JavaScript and intermediate Python. I focus on building responsive, user-friendly interfaces that blend functionality with visual appeal. My commitment lies in continuously learning and delivering high-quality, seamless digital experiences

Qubic Whale Guardian is an advanced real-time blockchain monitoring system designed to track and analyze high-value QUBIC token movements across the network. Whale transactions often signal major market shifts—either accumulation or distribution—so timely visibility into these transfers is essential for traders, investors, and researchers. Our platform acts as a dedicated early-warning system for unusual activity, providing transparency and market intelligence in a clean, fast, and automated interface. The system continuously listens for transfers above a user-defined threshold and records each event with full contextual information, including sender, receiver, transaction amount, and timestamp. Using an automated webhook integration, the dashboard updates the moment a whale event is detected, ensuring zero-delay alerts. This allows users to react instantly and make informed decisions. To make the data more meaningful, the dashboard includes beautifully designed visual analytics such as live charts, activity timelines, whale rankings, transfer heatmaps, and historical summaries. Users can quickly spot patterns, identify repeat whale addresses, detect clusters of unusual activity, and track liquidity flows across the Qubic ecosystem. The project is built using modern technologies including Next.js, TypeScript, Tailwind CSS, shadcn/ui, and Framer Motion for premium animations. The interface uses a futuristic Web3 aesthetic with gradients, glassmorphism cards, subtle glows, and smooth transitions to deliver a compelling user experience. Every update, alert, and new event is highlighted with motion effects to enhance real-time awareness.
7 Dec 2025

Consent Guardian+ is an AI-powered tool designed to help users understand complex Privacy Policies and Terms of Service with ease. Using GPT-3.5 and Streamlit, it summarizes lengthy legal documents into simple language, flags critical privacy concerns such as data sharing, location tracking, surveillance, and biometric usage, and assigns a privacy risk score from 1 to 10. Users can set a personal risk threshold, making it easier to decide whether to accept or reject policies. The tool empowers everyday users to take control of their digital privacy, promotes transparency, and is ideal for anyone who wants to avoid blindly accepting terms without understanding their implications. Developed for the AI Genesis Hackathon by team Clause Hunters.
1 May 2025