note none of the API keys that were originally posted to the repo work, you have to insert your own. These keys have been deleted

Echoes AI is a dual-track hackathon project containing:

• Closed Track: AI-powered forensic investigation tool
• Open Track: AI skin health diagnostic assistant

The repository is organized as a monorepo containing multiple frontends, backends, and analysis services.

Echoes Forensics is an AI-assisted forensic investigation platform designed to help identify suspects using fingerprint analysis and DNA matching.

Investigators upload:

• Crime scene fingerprint
• Suspect fingerprint database
• Crime scene DNA sequence
• Suspect DNA database

The platform analyzes the evidence and generates a ranked suspect analysis report.

Fingerprint Matching

Computer vision techniques extract fingerprint keypoints and compare them against a suspect fingerprint database to determine the closest match.

DNA Sequence Matching

DNA samples are analyzed using sequence alignment techniques to measure similarity between the crime scene sample and suspect DNA records.

Unified Investigation Dashboard

The results are displayed in an investigative dashboard showing:

• Best fingerprint match
• DNA similarity scores
• Ranked suspect likelihood
• Visual fingerprint comparison output

This demonstrates how AI, computer vision, and bioinformatics can assist forensic investigations.

The Open Track project is an AI-powered skin diagnostic assistant.

Users can:

1. Upload a photo of their face
2. Select specific facial zones
3. Enter skin symptoms or concerns

The AI analyzes the image and symptoms to generate:

• Skin condition analysis
• Recommended skincare actions
• Preventative suggestions
• Product recommendations with links

The goal is to create an accessible AI skin health assistant that helps users better understand and manage their skincare.

.
├── apps
│   ├── frontend           # Closed track frontend (NextJS)
│   ├── backend            # Closed track backend (Hono + Node)
│   ├── frontend-open      # Open track frontend (React)
│   └── backend-open       # Open track backend (Python)
│
├── services               # Closed track Python analysis services
│
└── README.md

Frontend
• Next.js
• React
• TypeScript

Backend
• Node.js
• TypeScript
• Hono

Services
• Python
• Computer Vision (Fingerprint Matching)
• DNA Sequence Analysis
• Gemini AI

Frontend
• React

Backend
• Python

Open closed track Demo

Open Track Demo

Our bonus feature demonstrates how DNA evidence can be transformed into visual investigative insight.

After analyzing the DNA sequence, the system uses AI to generate a potential suspect image representation based on predicted characteristics.

This concept explores how genomic analysis could assist investigators in visualizing potential suspects.

Closed track bonus feature

git clone https://github.com/sklyerx/mlh.git
cd mlh

Navigate to the services directory.

cd services

Install dependencies.

pip install -r requirements.txt

Run the analysis services.

Example:

python Fingerprint_analysis.py
python dna_analysis.py

cd apps/backend

Install dependencies.

pnpm install

Start the server.

pnpm dev

make sure to also update the .env with the values displayed in the .env.example file

cd apps/frontend

Install dependencies.

pnpm install

Run the development server.

pnpm dev

Open the application:

http://localhost:3000

cd apps/backend-open

Install dependencies.

pip install -r requirements.txt

Run the backend.

python main.py

cd apps/frontend-open

Install dependencies.

npm install

Run the development server.

npm start

Echoes AI explores how modern technologies such as AI, computer vision, and bioinformatics can be combined to solve real-world investigative and healthcare problems.

The project demonstrates how AI systems can assist in:

• Criminal investigation workflows
• Evidence analysis
• Personal healthcare insights

Built during the hackathon using a monorepo architecture to rapidly develop and integrate multiple services, APIs, and frontends.