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Consumption monitoring platform for blockchain development

Project providing a ready-to-use platform for monitoring and evaluating consumption on blockchain networks.

Main goal

Platform specifically focusing on the Ethereum mainnet and a private blockchain testbench. Provide accurate and actionable data on various on-chain & off-chain consumptions, enabling users to better understand and optimize their blockchain operations.

Key Components

• Ethereum Mainnet Consumption Dashboard
• Utilizes client distribution and scientific reports to estimate consumption.
• Integrates API data from reputable services into interactive graphs.
• Estimates idle network costs, transaction costs, and daily total costs.


• Private Blockchain TestBench
• Deploys a private blockchain using servers as physical machines connected to wattmeters.
• Implements Grafana and Prometheus for detailed monitoring of both blockchain clients and Raspberry Pi devices.
• Provides an interface to configure network parameters, create and manage smart contracts, and track on-chain and off-chain metrics.
• Offers easy and reliable deployment with extensive error management and configuration options.

Technologies Used

Category	Technologies
Frontend	Vue3, D3.js
Backend	Flask-API with python
Database	InfluxDB
Blockchain	Web3.py, Geth client, Solidity
Monitoring Tools	Grafana, Prometheus
DevOps	Docker, Git, Docker registry, Git CI/CD
Hardware	Raspberry Pi, wattmeters

Targeted consumptions

Category	Consumptions
Off-chain	Watts, CPU, GPU, RAM, HD, NET, Hardware
On-chain	Transactions, block processing, mempools, fees, propagations...

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Benchmarking Large Language Models for Ethereum Smart Contract Development (OPEN-SOURCE)

This project created at Orange-Innovation, provides an automated pipeline to generate smart contracts using Large Language Models with Ollama. The pipeline compiles these smart contracts with the Solidity compiler (solc), analyzes them using Slither, and performs unit testing based on the provided test instructions in the prompts. Statistics are then produced to determine the efficiency of each model and various prompts are used to interpret the results.

Pipeline architecture

Built with

• Ollama: Running large language models locally.
• Slither, the smart contract static analyzer: Slither is a Solidity & Vyper static analysis framework written in Python3.
• The solidity compiler: build by the Ethereum Foundation.
• Hardhat: Hardhat is an Ethereum development environment for professionals, Built by the Nomic Foundation.

Pipeline created in python, running inside a Docker container.

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AI-enhanced development environment for solidity projects

This application consists of a web IDE enabling the integral development of solidity projects, compilation takes place on a dockeurised back-end and LLM assistance is natively integrated to enable the user to understand, develop or syntactically check the source code.

This projet run with docker-compose with this stack :

• The frontend, which is built with Svelte.
• The backend is on a debian container, it has an api with Flask and compiles solidity projects locally.
• The "ollama" service runs a container using the "ollama/ollama" image, with a health check.
• a curl command suite for setting up the desired language model to be used by the ollama service.

What is possible with the app

• Develop a solidity, single file or multicontracts project.
• Analysis of : contract, function, code.
• Compilation from browser.
• Writing code to contracts by LLM via user prompts.

Screenshot :

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Synchronize sensors and videos in real time with different clocks (Proof of concept)

As part of a study project. It was within my reach to develop a synchronization tool connecting a BLE Bluetooth sensor (accelerometer) and a video acquisition: IP camera. From these sources, implementing data collection interfaces, I was able to synchronize sensor and video data frame by frame in real time (not in post-prod). The use case was the monitoring of elevator door openings, the machine learning of boxing blows and the movement of a horse's tail during foaling.

Java CLI program capable of saving instant data in paquets in a cloud solution

Post-production preview of a sync stream

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AI for solving a power 4 in which the current player does not see the opponent's moves

This project aims to implement and attempt to solve a Secret variant of Connect 4.

Each player sees his own tokens, but not his opponents, until one of his tokens is stacked on top.

Algorithms

• Algo human brain (naive)
• MinMax with pruning
• MinMax variation : Negamax
• One montecarlo algorithm

Report summary

Running with

Apache ANT & java from scratch.

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Bot resolving variant of a cluedo, based on literal intelligence

The goal of this project is to create an AI using a logical formalization to play a variation (without board) of Cluedo. By having knowledge of known cards, unknown cards, expected cards, it is possible to have a perfect formalist beating any strategy

Formal problem solving AI :

By transforming any problem into a system based on literal clauses (see propositional logic). It is possible to apply reasoning, find a solution, or even improve a situation. This can be deduced from logical rules and formal relationships between the elements of the problem.

Screenshots :

GUI init :

Sigkill to the PID of the prog to get bot data in the standard output :

Result : (1000 games -> simpleVersion vs randomBot)

Report

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Twitter Alarm

This topic deals with the development of an alert Website for twitter. In particular, it is requested that a user can register one (or more) words/tokens, which he wants to monitor. In case a certain threshold is being exceeded, an alert for the corresponding user should be generated. In addition, a visualization of should be presented on the Website.

Made with

React, ExpressJS & mongoDB, EmailJS, TailwindCSS

Screenshots :

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Improvement and development of a PHP web application for maintenance management (Intership 2 months)

Development of a php application serving as a web gateway to maintenance data from a heavy proprietary software database only available from fixed computers.

Work carried out :

I'm a french junior Dev with a Master's degree in Computer Science and AI. I would like to specialize myself in ambitious and new projects.

• Migration to PHP 8.1.4
• Application optimisation : SQL requests, algorithms, switch to a MVC pattern
• Management tools for technician clocking in and out
• Module for the daily organisation meeting
• The technicians' schedule and timetable
• Reorganisation of orders, exceptional maintenance and investments
• Stock & Contracts statistics
• graphic redesign

Screens :

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Multiagents factory simulation with Jade

Multiagents system for decentralized planification in a robotic production workshop. This makes it possible to represent skills relating to agents, a constant arrival of products in a factory and communication between agents to exchange information and goods. By creating an optimized system, we ensure that each robot performs the tasks it is best at. All using the agent-oriented library: JADE, and with a Java object architecture.

Logs for one try:

mat@mat-laptop ~/Desktop/code $ sh launch.sh 
Nov 16, 2023 4:38:57 PM jade.core.Runtime beginContainer
INFO: ----------------------------------
    This is JADE 4.5.0 - revision 6825 of 23-05-2017 10:06:04
    downloaded in Open Source, under LGPL restrictions,
    at http://jade.tilab.com/
----------------------------------------
Nov 16, 2023 4:38:57 PM jade.imtp.leap.LEAPIMTPManager initialize
INFO: Listening for intra-platform commands on address:
- jicp://10.229.32.29:1099

Nov 16, 2023 4:38:58 PM jade.core.BaseService init
INFO: Service jade.core.management.AgentManagement initialized
Nov 16, 2023 4:38:58 PM jade.core.BaseService init
INFO: Service jade.core.messaging.Messaging initialized
Nov 16, 2023 4:38:58 PM jade.core.BaseService init
INFO: Service jade.core.resource.ResourceManagement initialized
Nov 16, 2023 4:38:58 PM jade.core.BaseService init
INFO: Service jade.core.mobility.AgentMobility initialized
Nov 16, 2023 4:38:58 PM jade.core.BaseService init
INFO: Service jade.core.event.Notification initialized
Nov 16, 2023 4:38:58 PM jade.mtp.http.HTTPServer 
INFO: HTTP-MTP Using XML parser com.sun.org.apache.xerces.internal.jaxp.SAXParserImpl$JAXPSAXParser
Nov 16, 2023 4:38:58 PM jade.core.messaging.MessagingService boot
INFO: MTP addresses:
http://mat-laptop:7778/acc
Nov 16, 2023 4:38:58 PM jade.core.AgentContainerImpl joinPlatform
INFO: --------------------------------------
Agent container Main-Container@10.229.32.29 is ready.
--------------------------------------------
Mise en place de l'atelier : monAtelier@10.229.32.29:1099/JADE [T=1000 ms, lambda=5]
Mise en place du robot : robot1@10.229.32.29:1099/JADE [T=1000 ms, 3 competences dispo]
Mise en place du robot : robot2@10.229.32.29:1099/JADE [T=1000 ms, 3 competences dispo]
Mise en place du robot : robot3@10.229.32.29:1099/JADE [T=1000 ms, 3 competences dispo]
[Atelier] INTERRO robot1 (demande ses compétences)
[Atelier] INTERRO robot2 (demande ses compétences)
[Atelier] INTERRO robot3 (demande ses compétences)
Warning: No mapping found for expired timer 1700149139650
[monAtelier] SKILLS recu FROM robot2] 
vernir=0.615, colorier=0.816, couper=0.968

------------ Recap -------------
[monAtelier] 0/5 objets traités.
---------------------------------

[monAtelier] SKILLS recu FROM robot3] 
vernir=0.65, colorier=0.154, couper=0.643
[monAtelier] SEND produit n°FABRICAT : [ colorier=false ] | TO:[robot2] 
[monAtelier] SKILLS recu FROM robot1] 
vernir=0.368, colorier=0.27, couper=0.156
 A ESSAYER de faire son action sur n°FABRICAT : [ colorier=false ] (0.219<0.816)
[robot2] colorier DONE on n°FABRICAT : [ colorier=false ] (0.219<0.816)
[robot2] SEND n°TERMINE : [ colorier=true ] (TERMINE : [ colorier=true ]) | TO :monAtelier@10.229.32.29:1099/JADE
[monAtelier] RECEIVE produit n°TERMINE : [ colorier=true ] | FROM:[robot2] 

------------ Recap -------------
[monAtelier] 1/11 objets traités.
---------------------------------

[Atelier] INTERRO robot2 (demande ses compétences)
[monAtelier] SEND produit n°FABRICAT : [ colorier=false ] | TO:[robot1] 
[monAtelier] SKILLS recu FROM robot2] 
vernir=0.615, colorier=0.816, couper=0.968
 A ESSAYER de faire son action sur n°FABRICAT : [ colorier=false ] (0.995<0.27)

------------ Recap -------------
[monAtelier] 1/18 objets traités.
---------------------------------

 A ESSAYER de faire son action sur n°FABRICAT : [ colorier=false ] (0.334<0.27)
 A ESSAYER de faire son action sur n°FABRICAT : [ colorier=false ] (0.517<0.27)
 A ESSAYER de faire son action sur n°FABRICAT : [ colorier=false ] (0.447<0.27)

------------ Recap -------------
[monAtelier] 1/24 objets traités.
---------------------------------

 A ESSAYER de faire son action sur n°FABRICAT : [ colorier=false ] (0.304<0.27)
 A ESSAYER de faire son action sur n°FABRICAT : [ colorier=false ] (0.191<0.27)
[robot1] colorier DONE on n°FABRICAT : [ colorier=false ] (0.191<0.27)
[robot1] SEND n°TERMINE : [ colorier=true ] (TERMINE : [ colorier=true ]) | TO :monAtelier@10.229.32.29:1099/JADE
[monAtelier] RECEIVE produit n°TERMINE : [ colorier=true ] | FROM:[robot1] 
[Atelier] INTERRO robot1 (demande ses compétences)
[monAtelier] SEND produit n°FABRICAT : [ vernir=false ] | TO:[robot3] 

------------ Recap -------------
[monAtelier] 2/32 objets traités.
---------------------------------

[monAtelier] SKILLS recu FROM robot1] 
vernir=0.368, colorier=0.27, couper=0.156
 A ESSAYER de faire son action sur n°FABRICAT : [ vernir=false ] (0.567<0.65)
[robot3] vernir DONE on n°FABRICAT : [ vernir=false ] (0.567<0.65)
[robot3] SEND n°TERMINE : [ vernir=true ] (TERMINE : [ vernir=true ]) | TO :monAtelier@10.229.32.29:1099/JADE
[monAtelier] RECEIVE produit n°TERMINE : [ vernir=true ] | FROM:[robot3] 
[Atelier] INTERRO robot3 (demande ses compétences)
[monAtelier] SEND produit n°FABRICAT : [ vernir=false colorier=false ] | TO:[robot2] 

------------ Recap -------------
[monAtelier] 3/36 objets traités.
---------------------------------

[monAtelier] SKILLS recu FROM robot3] 
vernir=0.65, colorier=0.154, couper=0.643
 A ESSAYER de faire son action sur n°FABRICAT : [ vernir=false colorier=false ] (0.469<0.816)
[robot2] colorier DONE on n°FABRICAT : [ vernir=false colorier=false ] (0.469<0.816)
{vernir=( agent-identifier :name robot2@10.229.32.29:1099/JADE  :addresses (sequence http://mat-laptop:7778/acc ))}
 A ESSAYER de faire son action sur n°FABRICAT : [ vernir=false colorier=true ] (0.988<0.615)

------------ Recap -------------
[monAtelier] 3/43 objets traités.
---------------------------------

 A ESSAYER de faire son action sur n°FABRICAT : [ vernir=false colorier=true ] (0.29<0.615)
[robot2] vernir DONE on n°FABRICAT : [ vernir=false colorier=true ] (0.29<0.615)
[robot2] SEND n°TERMINE : [ vernir=true colorier=true ] (TERMINE : [ vernir=true colorier=true ]) | TO :monAtelier@10.229.32.29:1099/JADE
[monAtelier] RECEIVE produit n°TERMINE : [ vernir=true colorier=true ] | FROM:[robot2] 
[Atelier] INTERRO robot2 (demande ses compétences)
[monAtelier] SEND produit n°FABRICAT : [ colorier=false couper=false ] | TO:[robot3] 
[monAtelier] SKILLS recu FROM robot2] 
vernir=0.615, colorier=0.816, couper=0.968

------------ Recap -------------
[monAtelier] 4/51 objets traités.
---------------------------------

 A ESSAYER de faire son action sur n°FABRICAT : [ colorier=false couper=false ] (0.848<0.643)
 A ESSAYER de faire son action sur n°FABRICAT : [ colorier=false couper=false ] (0.948<0.643)
 A ESSAYER de faire son action sur n°FABRICAT : [ colorier=false couper=false ] (0.524<0.643)
[robot3] couper DONE on n°FABRICAT : [ colorier=false couper=false ] (0.524<0.643)
{colorier=( agent-identifier :name robot1@10.229.32.29:1099/JADE  :addresses (sequence http://mat-laptop:7778/acc ))}
[robot3] SEND n°FABRICAT : [ colorier=false couper=true ] (FABRICAT : [ colorier=false couper=true ]) | TO :robot1@10.229.32.29:1099/JADE

------------ Recap -------------
[monAtelier] 4/57 objets traités.
---------------------------------

 A ESSAYER de faire son action sur n°FABRICAT : [ colorier=false couper=true ] (0.61<0.27)
 A ESSAYER de faire son action sur n°FABRICAT : [ colorier=false couper=true ] (0.126<0.27)
[robot1] colorier DONE on n°FABRICAT : [ colorier=false couper=true ] (0.126<0.27)
[robot1] SEND n°TERMINE : [ colorier=true couper=true ] (TERMINE : [ colorier=true couper=true ]) | TO :monAtelier@10.229.32.29:1099/JADE
[monAtelier] RECEIVE produit n°TERMINE : [ colorier=true couper=true ] | FROM:[robot1] 

------------ Recap -------------
[monAtelier] 5/63 objets traités.
---------------------------------

[Atelier] INTERRO robot1 (demande ses compétences)
[monAtelier] SEND produit n°FABRICAT : [ colorier=false ] | TO:[robot2] 
[monAtelier] SKILLS recu FROM robot1] 
vernir=0.368, colorier=0.27, couper=0.156
 A ESSAYER de faire son action sur n°FABRICAT : [ colorier=false ] (0.21<0.816)
[robot2] colorier DONE on n°FABRICAT : [ colorier=false ] (0.21<0.816)
[robot2] SEND n°TERMINE : [ colorier=true ] (TERMINE : [ colorier=true ]) | TO :monAtelier@10.229.32.29:1099/JADE
[monAtelier] RECEIVE produit n°TERMINE : [ colorier=true ] | FROM:[robot2] 

------------ Recap -------------
[monAtelier] 6/68 objets traités.
---------------------------------

[Atelier] INTERRO robot2 (demande ses compétences)
[monAtelier] SEND produit n°FABRICAT : [ colorier=false ] | TO:[robot1] 
[monAtelier] SKILLS recu FROM robot2] 
vernir=0.615, colorier=0.816, couper=0.968
 A ESSAYER de faire son action sur n°FABRICAT : [ colorier=false ] (0.07<0.27)
[robot1] colorier DONE on n°FABRICAT : [ colorier=false ] (0.07<0.27)
[robot1] SEND n°TERMINE : [ colorier=true ] (TERMINE : [ colorier=true ]) | TO :monAtelier@10.229.32.29:1099/JADE
[monAtelier] RECEIVE produit n°TERMINE : [ colorier=true ] | FROM:[robot1] 

------------ Recap -------------
[monAtelier] 7/73 objets traités.
---------------------------------

[Atelier] INTERRO robot1 (demande ses compétences)
[monAtelier] SEND produit n°FABRICAT : [ vernir=false colorier=false couper=false ] | TO:[robot2] 
^CArrêt de l'atelier : monAtelier@10.229.32.29:1099/JADE
Arrêt du robot : robot1@10.229.32.29:1099/JADE
Arrêt du robot : robot2@10.229.32.29:1099/JADE
Arrêt du robot : robot3@10.229.32.29:1099/JADE

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Available for all android devices. Developed voluntarily to learn.

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