
In today's digital age, online forums like Reddit are the new public square, hosting millions of conversations that shape opinions and trends. However, this landscape is often chaotic, polarized, and difficult to navigate. It's nearly impossible to get a clear, unbiased signal from the noise. Our project, Polarization Mapper, is designed to solve this problem. It's an intelligent AI agent that acts as a digital sociologist, diving into online communities to map the true state of public opinion. How It Works & What It Delivers: When you give the agent a topic—from political debates to climate change or new product reviews—it gets to work. It fetches the most influential posts and comments from Reddit and processes them through a Natural Language Processing (NLP) pipeline. This isn't just basic sentiment analysis; its key function is stance detection. The agent identifies and clusters different, often opposing, viewpoints. The final output is a clear, data-driven visualization of the entire conversation, showing where people agree, where they disagree, and what the core arguments are. This transforms a messy sea of text into actionable insights. This tool provides invaluable insights for a wide range of users: Market researchers can get authentic, unfiltered feedback on products. Political strategists can track shifting public sentiment during campaigns. 🗳️ Policymakers and NGOs can better understand public concerns on critical issues. Ultimately, Polarization Mapper brings clarity and structure to the chaotic world of online discourse, making it possible to truly understand the pulse of the public.
21 Sep 2025

Green Mentor Owly is a AI powered virtual sustainability Mentor for children and young learners. It combines conversational AI, gamified eco-quests, and safe, age-appropriate education to teach green skills in a fun and engaging way. to foster eco-friendly habits and sustainability awareness in children. Children today face a growing disconnect (around 90% of kids lack eco-skills), Traditional education often fails to engage them in eco-friendly practices in a fun, interactive way, ChatGPT are not tailored for safe, age-appropriate learning, leaving a gap for specialized solutions that combine education, play, and measurable eco-impact. we atrget not only children but Parents, educators, schools, eco-clubs, CSR-driven companies, EdTech companies, our differentiation unlike generic ChatGPT, Eco Mentor is a specialized, branded eco-education product, Potential Scalability it can expand to schools, NGOs, CSR programs. AFRICA/ MENA/ASIA and we build environmental & social Impact.
24 Aug 2025
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- Photogrammetry Processing: Automatically processes drone images to create orthomosaic maps. - Modern Image Alignment: Uses edge detection, feature matching, and static point analysis for precise image placement. - Interactive Map Visualization: Displays processed images as overlays on interactive maps using Folium. - Multi-Resolution Tiling: Supports efficient map rendering at multiple zoom levels. - Performance Optimizations:Utilizes parallel processing and optimized image handling for large datasets. - Customizable Overlays: Enhanced overlays with popups, markers, and custom CSS for improved user experience. ## Usage - Upload drone images via the web interface. - Start photogrammetry processing from the dashboard. - View the generated orthomosaic and overlays on the interactive map. Key Technologies - Python, Django for backend and web framework - OpenCV, NumPy, Pillow for image processing - Folium** for map visualization - Concurrent Futures for parallel processing Advanced Techniques - Edge-based and Feature-based Alignment: Ensures accurate image stitching using Canny edge detection and ORB/SIFT feature matching. - Static Point Analysis: Fine-tunes image placement by analyzing overlapping features, similar to panorama stitching. - Multi-Resolution Tiles: Generates smaller, optimized PNG overlays for efficient map loading.
15 Jun 2025

The Financing AI Agent addresses the widespread challenge of managing daily finances, where individuals often struggle to balance spending, prioritize expenses, and save effectively for future goals. This innovative tool, built in Python, analyzes transaction data from CSV files, categorizing expenses and allocating funds into savings buckets—Emergency, Travel, Fun, and Health—based on user-defined priorities like healthcare or leisure. Its vibrant CLI, powered by the rich library, delivers colorful daily and weekly summaries, with pie charts via matplotlib for clear insights. Future phases include a Streamlit web app with interactive dashboards, a Tkinter desktop GUI for offline use, and AI/NLP integrations using nltk or spacy for natural language inputs and smart suggestions. Targeting young professionals, students, and budget-conscious individuals, it simplifies financial planning. Its unique benefit lies in AI-driven priority suggestions, offering personalized, scalable, and intuitive finance management, transforming how users achieve financial wellness in a complex world.
1 May 2025