
3
3
Pakistan
1 year of experience
I'm ๐๐ง๐ณ๐๐ซ ๐๐ก๐ฆ๐๐, a Computer Science Enthusiast, Technology Trainer, and Aspiring Engineer. Currently, I'm pursuing a BS in Computer Science at ๐๐๐๐ . I also guide students as a Trainer and Moderator at ๐ข๐๐จ๐๐๐๐ฎ๐ซ๐ฎ.

Code Compass โ AI-Powered Open-Source Contribution Helper Code Compass makes open-source contribution easier by helping developers understand complex codebases, visualize dependencies, and find actionable contribution opportunities. Core Problem New developers struggle with large, unfamiliar repositories and lack clear starting points. Code Compass bridges this gap with AI-driven insights and interactive visualization. Key Features โ AI-Powered Analysis โ GPT-5-based repository summarization, code explanations, and intelligent Q&A. โ Visual Knowledge Graphs โ Interactive dependency maps using NetworkX + PyVis for files, classes, and functions. โ Smart Contribution Guidance โ Detects TODOs, missing tests, and suggests beginner-friendly GitHub issues. โ Multi-Language Support โ Handles Python, JavaScript, TypeScript, HTML, CSS, and config files. How It Works Repo Ingestion โ Clone any GitHub repo via API. Graph Mapping โ Build a knowledge graph of imports, function calls, and file relationships. AI Insight Layer โ GPT-5 answers natural language questions, explains architecture, and recommends contributions. Interactive Exploration โ Filter graphs, view file summaries, and discover improvement areas. Tech Stack Frontend: Streamlit, PyVis Backend: FastAPI, Python AI & NLP: GPT-5 (via AIML), Google Generative AI embeddings, FAISS for semantic search Visualization: NetworkX, Plotly Integration: GitHub API (PyGithub) Why Itโs Innovative Unlike basic code search tools, Code Compass combines graph visualization, AI-driven explanations, and predictive contribution detection. It not only answers โwhatโ and โwhereโ but also explains โwhyโ and โhowโ, empowering newcomers to contribute confidently. One-Line Summary: Code Compass transforms codebases into interactive, explainable maps, making open-source projects accessible to everyone.
24 Aug 2025

AI Space Data Explorer ๐๐ AI Space Data Explorer is an advanced AI-powered platform designed to make space data more accessible and understandable for students, researchers, and space enthusiasts. Organizations like NASA and ESA generate vast amounts of data, but navigating and interpreting this information remains a challenge for the general public. Our solution leverages cutting-edge AI models and frameworks to simplify data retrieval, analysis, and visualization, making space insights more interactive and user-friendly. ๐น Key Features: โ Conversational AI โ Users can ask space-related questions and receive real-time insights from NASA and ESA datasets. Llama models, integrated via LangGraph and Groq API, ensure intelligent, context-aware responses. โ Smart Visualization โ The AI transforms complex space data into intuitive graphs, charts, and reports, making it easier to analyze patterns and trends. โ Personalized Space Learning โ The platform adapts to user preferences, recommending space topics, celestial events, and scientific discoveries based on individual interests. โ Seamless Data Retrieval โ Using LangChain and NASA APIs, the system fetches and processes real-time space data, ensuring accuracy and relevance. โ Interactive Dashboard โ Built with Streamlit, the user-friendly interface allows smooth interaction with AI-driven insights and visualizations. ๐ง Tech Stack & AI Models: Llama (via LangGraph & Groq API) โ Powers intelligent Q&A interactions. LangChain + NASA APIs โ Retrieves and processes real-time space data. Streamlit โ Provides a sleek, interactive dashboard for exploration. ๐ฏ Impact: AI Space Data Explorer democratizes space knowledge, breaking down barriers to access and interpretation. By integrating AI-driven insights with real-time data visualization, the platform fosters curiosity, supports research, and enhances space education for all. ๐
9 Feb 2025

Wave Tracker simplifies mobile network analysis and optimization with a range of powerful features: โ Easy Network Analysis: Helps users understand and improve mobile network performance. โ Target Audience: Ideal for telecom professionals, engineers, and general users curious about network performance. โ Input Data: Users can input MCC, MNC, Cell ID, LAC codes, or location data for area coverage analysis. โ Data Fetching: Utilizes OpenCellID API to retrieve tower signal strength, location, and other key details. โ Speed Predictions: Estimates internet speeds based on tower data and signal strength. โ AI-Powered Insights: Offers suggestions for network optimization, such as tower selection and reducing interference. โ Interactive Visualization: Displays network performance through dynamic charts for better clarity and actionable insights. In conclusion, Wave Tracker provides a comprehensive and intuitive solution for users to analyze and optimize their mobile network performance. By combining real-time data with AI-driven insights, it empowers individuals and professionals alike to make informed decisions and improve connectivity. Whether you're troubleshooting network issues or enhancing coverage in rural areas, Wave Tracker is the go-to tool for smarter, more efficient network management.
26 Jan 2025