diff --git a/predict_pipeline/check_python_version.py b/predict_pipeline/check_python_version.py
new file mode 100644
index 0000000..bb2c7a6
--- /dev/null
+++ b/predict_pipeline/check_python_version.py
@@ -0,0 +1,11 @@
+# from tools import db_helpers
+import sys
+
+
+def main():
+    print(sys.version)
+    # db_helpers.add_columns_to_table()    
+
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file
diff --git a/predict_pipeline/fill_db.ipynb b/predict_pipeline/fill_db.ipynb
new file mode 100644
index 0000000..8832eaf
--- /dev/null
+++ b/predict_pipeline/fill_db.ipynb
@@ -0,0 +1,211 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0d70a13f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "sys.path.append('/home/edgekit/MSY_FS/fahrsimulator_msy2526_ai/tools')\n",
+    "import pandas as pd\n",
+    "from pathlib import Path\n",
+    "import db_helpers"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ce696366",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "database_path = Path(r\"/home/edgekit/MSY_FS/databases/rawdata.sqlite\")\n",
+    "parquet_path = Path(r\"/home/edgekit/MSY_FS/fahrsimulator_msy2526_ai/files_for_testing/both_mod_0000.parquet\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b1aa9398",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dataset = pd.read_parquet(parquet_path)\n",
+    "dataset.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b183746e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dataset.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "24ed769d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "con, cursor = db_helpers.connect_db(database_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e604ed30",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_clean = dataset.drop(columns=['subjectID','rowID', 'STUDY', 'LEVEL', 'PHASE'])\n",
+    "df_first_100 = df_clean.head(200)\n",
+    "df_first_100 = df_first_100.reset_index(drop=True)\n",
+    "df_first_100.insert(0, '_Id', df_first_100.index + 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e77a812e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def pandas_to_sqlite_dtype(dtype):\n",
+    "    if pd.api.types.is_integer_dtype(dtype):\n",
+    "        return \"INTEGER\"\n",
+    "    if pd.api.types.is_float_dtype(dtype):\n",
+    "        return \"REAL\"\n",
+    "    if pd.api.types.is_bool_dtype(dtype):\n",
+    "        return \"INTEGER\"\n",
+    "    if pd.api.types.is_datetime64_any_dtype(dtype):\n",
+    "        return \"TEXT\"\n",
+    "    return \"TEXT\"\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0e8897b2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "columns = {\n",
+    "    col: pandas_to_sqlite_dtype(dtype)\n",
+    "    for col, dtype in df_first_100.dtypes.items()\n",
+    "}\n",
+    "\n",
+    "constraints = {\n",
+    "    \"_Id\": [\"NOT NULL\"]\n",
+    "}\n",
+    "\n",
+    "primary_key = {\n",
+    "    \"pk_df_first_100\": [\"_Id\"]\n",
+    "}\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4ab57624",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sql = db_helpers.create_table(\n",
+    "    conn=con,\n",
+    "    cursor=cursor,\n",
+    "    table_name=\"rawdata\",\n",
+    "    columns=columns,\n",
+    "    constraints=constraints,\n",
+    "    primary_key=primary_key,\n",
+    "    commit=True\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "25096a7f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "columns_to_insert = {\n",
+    "    col: df_first_100[col].tolist()\n",
+    "    for col in df_first_100.columns\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7a5a3aa8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "db_helpers.insert_rows_into_table(\n",
+    "    conn=con,\n",
+    "    cursor=cursor,\n",
+    "    table_name=\"rawdata\",\n",
+    "    columns=columns_to_insert,\n",
+    "    commit=True\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b56beae2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a = db_helpers.get_data_from_table(conn=con, table_name='rawdata',columns_list=['*'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a4a74a9d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "da0f8737",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "db_helpers.disconnect_db(con, cursor)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "MSY_FS_env",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}