CID | Devpost

Inspiration

The CID project was inspired by the need for a comprehensive crime analysis tool that integrates various data sources and analytical techniques to provide actionable insights for law enforcement agencies and policymakers.

What it does

It is a website that provides criminal analysis based on different crimes, time periods, and sensitive age groups like the elderly, children, and women, prediction of the probability of criminal activities, and a tool for resource allocation along with a sentiment analysis tool for predicting possible criminal activities.

How we built it

Using the data of past crimes gathered from the state police, we built this website using Javascript, python, google maps API, and firebase for realtime updation and storage.

Challenges we ran into

Our main concern was that the google maps API is not free leading to more processing time and thus couldn't deploy out website.

Accomplishments that we're proud of

Successfully integrating diverse analytical techniques into a unified dashboard.
Achieving high accuracy in crime prediction using machine learning models.
Creating an interactive and user-friendly interface for exploring crime data.
Implementing efficient resource allocation strategies for law enforcement agencies.

What we learned

Enhanced our skills in data analysis, machine learning, and web development.
Gained insights into the complexities of crime analysis and resource management.
Learned valuable lessons in project management, collaboration, and problem-solving.

What's next for CID

Enhancing predictive analytics capabilities for more accurate crime forecasting.
Incorporating real-time data streaming for dynamic updates on crime trends.
Expanding sentiment analysis features to include social media monitoring.
Collaborating with law enforcement agencies for practical deployment and feedback.