diff --git a/Makefile b/Makefile
index dcfa362..e2cf011 100644
--- a/Makefile
+++ b/Makefile
@@ -2,7 +2,7 @@ CONFIG ?= release
 SRCS := source/main.cpp source/Rbm.cpp source/noise.c
 	
 	
-LIBS := -larmadillo
+LIBS := -larmadillo -ljsoncpp
 BUILD_DIR := ./build/${CONFIG}
 	
 all: ${BUILD_DIR}/main.elf
diff --git a/source/main.cpp b/source/main.cpp
index a4fe449..1f20892 100644
--- a/source/main.cpp
+++ b/source/main.cpp
@@ -1,10 +1,14 @@
+#include <iostream>
+#include <fstream>
 #include <streambuf>
 #include <cstdio>
 #include <cmath>
 #include <string>
 #include <armadillo>
+#include <jsoncpp/json/json.h>
 #include "Rbm.hpp"
 
+using namespace std;
 class RbmListener : public Rbm::IListener
 {
 	public:
@@ -25,7 +29,7 @@ class RbmListener : public Rbm::IListener
 	}
 };
 
-arma::mat loadTraining(const std::string &filename)
+arma::mat loadTraining(const string &filename)
 {
 	uint32_t numTraining = 0;
 	uint32_t numVisible = 0;
@@ -69,7 +73,7 @@ arma::mat loadTraining(const std::string &filename)
 	
 }
 
-void saveWeight(const std::string &filename, size_t numVisibleX, size_t numVisibleY, const arma::mat &w, const arma::mat &bv, const arma::mat &bh)
+void saveWeight(const string &filename, size_t numVisibleX, size_t numVisibleY, const arma::mat &w, const arma::mat &bv, const arma::mat &bh)
 {
 	FILE *pFile;
 
@@ -107,14 +111,65 @@ void saveWeight(const std::string &filename, size_t numVisibleX, size_t numVisib
 	fclose(pFile);
 }
 
+void saveProject(const string &prjname)
+{
+	ofstream ofs(prjname + string(".prj"));
+	
+	Json::StyledWriter writer;
+	Json::Value project;
+	project["project"]["name"] = prjname;
+	
+	Json::Value layer1;
+	layer1["name"] = "1";
+	layer1["num_hidden"] = 64;
+	layer1["num_visible"] = 28*28;
+	Json::Value params1;
+	params1["weightInit"] = 0.01;
+	params1["weightDecay"] = 0.001;
+	params1["learningRate"] = 0.1;
+	params1["momentum"] = 0.5;
+	params1["doRaoBlackwell"] = 1;
+	params1["gibbsDoSampleVisible"] = 0;
+	params1["gibbsDoSampleHidden"] = 1;
+	params1["doSampleBatch"] = 0;
+	params1["numGibbs"] = 1;
+	layer1["params"] = params1;
+	
+	Json::Value layer2;
+	layer2["name"] = "2";
+	layer2["num_hidden"] = 16;
+	layer2["num_visible"] = 64;
+	Json::Value params2;
+	params2["weightInit"] = 0.01;
+	params2["weightDecay"] = 0.001;
+	params2["learningRate"] = 0.1;
+	params2["momentum"] = 0.5;
+	params2["doRaoBlackwell"] = 1;
+	params2["gibbsDoSampleVisible"] = 0;
+	params2["gibbsDoSampleHidden"] = 1;
+	params2["doSampleBatch"] = 0;
+	params2["numGibbs"] = 1;
+	layer2["params"] = params2;
+	
+	Json::Value layers(Json::arrayValue);
+	layers.append(layer1);
+	layers.append(layer2);
+	
+	project["project"]["layers"] = layers;
+	
+	ofs << writer.write(project);
+}
+
 int main()
 {
 	printf("Hallo, Welt!\n");
 
-	const std::string project("mnist");
+	const string project("mnist_2");
+	saveProject(project);
+	
 	RbmListener statusDisplay;
 	Rbm::Params params;
-	arma::mat batch = loadTraining(project + std::string(".training.dat"));
+	arma::mat batch = loadTraining(project + string(".training.dat"));
 
 	size_t numTraining = batch.n_rows;
 	size_t numVisible = batch.n_cols;
@@ -127,7 +182,7 @@ int main()
 	arma::mat bh = arma::zeros(1, numHidden);
 	Rbm rbm(params, w, bv, bh);
 	rbm.train(batch, 1000, 100, &statusDisplay);
-	saveWeight(project + std::string(".weights.dat"), 28, 28, w, bv, bh);
+	saveWeight(project + string(".weights.dat"), 28, 28, w, bv, bh);
 	arma::mat v = arma::randu(numTraining, numVisible);
 	arma::mat h = rbm.toHiddenProbs(v);
 	arma::mat r = rbm.toVisibleProbs(h);