Developed a anti crime system as per the hackathon's theme in a 36-hour timeframe for hackify 2.0
built AI-driven modules aimed at crime prevention and public safety. Our solution leverag
machine learning and real-time data analysis to identify potential threats, enhance self-defense awareness,
and provide proactive security insights. Despite the challenge of working with limited IoT access,
we focused on software-based innovations that could make a real-world impact.
- Ai assistance with visual aids: For the ai lead detection, it generates mermaid syntax for a visual explanation of the workflow
- Finetuned ai chatbot:. A Gemini 2.0 flash model has been fine tuned over a crime info database
- Anonymous reporting: A feature for anonymous reporting enables individuals to report crimes without the fear of disclosing their identities. This system allows users to send their location, any visual evidence, and additional information as needed.
- Next js: For building frontend.
- Supabase: For the entire backend services.
- Google genai: For fine tuning, and adjusting the chatbot's llm instance.
- Langchain: For creating agentic workflows for the lead detection and diagram generation.
- Mermai.js: For rendering visual aids via the llm generated syntax.
