.png&w=256&q=75)
🤝 Top Collaborators
🤓 Latest Submissions
Career Compass Pro
CareerCompass AI is an AI-powered career intelligence platform that helps users discover careers based on how they actually work—not just resume keywords. It analyzes a user’s GitHub profile, resume, or both to understand their technical depth, project ownership, learning patterns, competencies, and working style. The platform uses the GitHub REST API and a resume parser to build a structured professional profile. Google Gemini then analyzes this information to generate an AI-powered “Work DNA” profile, giving users a clearer picture of their technical strengths and working patterns. Based on this profile, CareerCompass AI recommends career paths where the user is most likely to thrive. Users can explore their results through an interactive dashboard featuring visual insights, career matches, salary and market information, and a personalized learning roadmap. The platform also generates a downloadable PDF career report, making the recommendations practical and easy to revisit. CareerCompass AI is designed to go beyond traditional job portals, which often depend heavily on keyword matching. Instead, it focuses on evidence of how a person builds projects, learns, and works to provide more personalized career recommendations. The project is built with React, TypeScript, Tailwind CSS, Framer Motion, and Recharts, with Supabase Edge Functions and PostgreSQL powering the backend. Google Gemini provides the AI analysis, while GitHub supplies developer profile data.
10 Aug 2026
Video Captioning Agent
The Video Captioning Agent is an AI-powered multimodal application that automatically generates accurate, context-aware captions from video content by analyzing both visual scenes and spoken audio. Unlike traditional captioning tools that rely only on speech recognition, our solution combines computer vision, audio transcription, and large language models to understand actions, objects, environments, and dialogue, producing captions that accurately reflect the complete context of a video. The system processes uploaded videos by extracting frames and audio, transcribing speech, analyzing key visual moments, and merging both sources of information into synchronized captions with timestamps. It can also generate scene descriptions, video summaries, keywords, and searchable metadata, making video content more accessible, discoverable, and easier to manage. The Video Captioning Agent supports multiple output formats, including SRT, VTT, TXT, and JSON, allowing seamless integration with video editing software, streaming platforms, educational tools, and enterprise workflows. Its modular architecture enables future expansion with features such as multilingual captioning, speaker identification, real-time caption generation, automatic translation, and live streaming support. Designed for creators, educators, businesses, and media organizations, the solution significantly reduces the time and cost of manual caption creation while improving accessibility for people with hearing impairments and enhancing content searchability. By leveraging advanced multimodal AI, the Video Captioning Agent delivers high-quality, synchronized captions that capture both spoken dialogue and important visual events, enabling organizations to unlock greater value from their video libraries through intelligent automation.
13 Jul 2026
