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Crime lab chronicles

Created by: Biraj Bhattarai
2 devlogs
11h 45m

This project is the mixture of hardware and software project at one showing how the crime scene investigation process works. The software part is a web application that allows users to interact with the crime scene and gather clues to solve the my…

This project is the mixture of hardware and software project at one showing how the crime scene investigation process works. The software part is a web application that allows users to interact with the crime scene and gather clues to solve the mystery. The hardware part includes a physical crime scene setup with various props and evidence for users to examine. The combination of both elements creates an immersive experience for users to engage in the investigation process.

This project uses AI

Used gemini for the voting firebase integration and the hardware assist.

Demo Repository

README

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Biraj Bhattarai
Biraj Bhattarai worked on Crime lab chronicles
about 6 hours ago
6h 43m logged

online voting

this is a live crime scene voting system where users vote for suspects and submit short evidence notes, while admins monitor real-time results through a dashboard and chart. the goal is to make the experience interactive, fast, and easy to run with firebase-backed data updates.
.Demoooooooo
.Repo:::

prjkt integration

this project is integrated with a fingerprint biometric automation project to support stronger identity flow around participation and admin access context. the integration helps connect secure biometric validation with the voting platform, creating a cleaner bridge between hardware driven authentication and the web voting experience.

pptx

I have created a pptx file for the crime scene which depicts the scenario of the project with seamless integration…

PPtx

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Biraj Bhattarai
Biraj Bhattarai worked on Crime lab chronicles
about 7 hours ago
5h 1m logged

crime lab fingerprint automation system

fingerprint identification with a small web app and optional gsr (stress) sensor. when a match is detected, the browser shows a suspect dossier and a live gsr graph.

current state

  • hardware: arduino sketches for fingerprint enrollment and identification.
  • backend: python serial listener and flask web app.
  • database: mysql schema for suspect records and match logs.
  • frontend: web templates for dossier display and real-time monitoring.

repo::
github.

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