![\"Open](\"https://colab.research.google.com/assets/colab-badge.svg\"){kind=icon}
"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "id": "smgV1JDgZ9xC"
+ },
+ "source": [
+ "!pip install -q keras-ocr"
+ ],
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "id": "mYLEKu96aBDF"
+ },
+ "source": [
+ "import keras_ocr\n",
+ "import matplotlib.pyplot as plt"
+ ],
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "x-jscDahaJWq",
+ "outputId": "ccfc00e5-bd05-47a3-a1df-7991f21e144c"
+ },
+ "source": [
+ "pipeline = keras_ocr.pipeline.Pipeline()"
+ ],
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Looking for /root/.keras-ocr/craft_mlt_25k.h5\n",
+ "Looking for /root/.keras-ocr/crnn_kurapan.h5\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "id": "5ie9cp8oaMls",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 350
+ },
+ "outputId": "d4c21886-b749-4c5c-df6b-b5f75a263f25"
+ },
+ "source": [
+ "images = [\n",
+ " keras_ocr.tools.read(img) for img in ['//content/WhatsApp Image 2021-09-26 at 09.27.33.jpeg' \n",
+ " \n",
+ " ]\n",
+ "]"
+ ],
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "error",
+ "ename": "NameError",
+ "evalue": "ignored",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
+ "\u001b[0;32m"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 935
+ },
+ "id": "yKz2iF1wEXfm",
+ "outputId": "1fd3666f-4e35-4d3c-b79a-cda73bc4944d"
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "1\n",
+ "2\n",
+ "3\n",
+ "4\n",
+ "5\n",
+ "6\n",
+ "7\n",
+ "8\n",
+ "9\n",
+ "10\n",
+ "11\n",
+ "12\n",
+ "13\n",
+ "14\n",
+ "15\n",
+ "16\n",
+ "17\n",
+ "18\n",
+ "19\n",
+ "20\n",
+ "21\n",
+ "22\n",
+ "23\n",
+ "24\n",
+ "25\n",
+ "26\n",
+ "27\n",
+ "28\n",
+ "29\n"
+ ]
+ },
+ {
+ "output_type": "error",
+ "ename": "ValueError",
+ "evalue": "ignored",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)",
+ "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/internals/construction.py\u001b[0m in \u001b[0;36m_finalize_columns_and_data\u001b[0;34m(content, columns, dtype)\u001b[0m\n\u001b[1;32m 905\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 906\u001b[0;31m \u001b[0mcolumns\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_validate_or_indexify_columns\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcontents\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 907\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mAssertionError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/internals/construction.py\u001b[0m in \u001b[0;36m_validate_or_indexify_columns\u001b[0;34m(content, columns)\u001b[0m\n\u001b[1;32m 954\u001b[0m raise AssertionError(\n\u001b[0;32m--> 955\u001b[0;31m \u001b[0;34mf\"{len(columns)} columns passed, passed data had \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 956\u001b[0m \u001b[0;34mf\"{len(content)} columns\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;31mAssertionError\u001b[0m: 6 columns passed, passed data had 5 columns",
+ "\nThe above exception was the direct cause of the following exception:\n",
+ "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
+ "\u001b[0;32m"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "R1oRN_iiHN_7"
+ },
+ "source": [
+ "Importing the dependencies"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "id": "GAGi6hrzFLOb"
+ },
+ "source": [
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import difflib\n",
+ "from sklearn.feature_extraction.text import TfidfVectorizer\n",
+ "from sklearn.metrics.pairwise import cosine_similarity"
+ ],
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "mfIW1BYVIGfP"
+ },
+ "source": [
+ "Data Collection and Pre-Processing"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "id": "MOXn7CGdIGBU"
+ },
+ "source": [
+ "# loading the data from the csv file to apandas dataframe\n",
+ "scholarship_data = pd.read_csv('/content/scholarships.csv')\n"
+ ],
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 617
+ },
+ "id": "cha03lDAIa6l",
+ "outputId": "4ba38ce8-41c5-4ac9-cd30-382f584397e7"
+ },
+ "source": [
+ "# printing the first 5 rows of the dataframe\n",
+ "scholarship_data.head()"
+ ],
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ " index _id \\\n",
+ "0 1 62ecdb7511eecc8d7863e2b6 \n",
+ "1 2 62ecdcc611eecc8d7863e2b8 \n",
+ "2 3 62ecdd5511eecc8d7863e2ba \n",
+ "3 4 62ecdec8eec8746e08200f6b \n",
+ "4 5 62ecdf68eec8746e08200f6d \n",
+ "\n",
+ " title deadline \\\n",
+ "0 Vidyadhan Odisha Plus 2 (1st year) Scholarship... 22-08-2022 \n",
+ "1 SERB International Research Experience (SIRE) ... 30-08-2022 \n",
+ "2 JSPN Scholarship 2022-23 30-08-2022 \n",
+ "3 Virchow Scholarship Program 31-08-2022 \n",
+ "4 TISS Guwahati Summer Internship Programme 2022 31-08-2022 \n",
+ "\n",
+ " award \\\n",
+ "0 INR 10,000 per annum \n",
+ "1 Variable Awards \n",
+ "2 Variable Awards \n",
+ "3 Up to INR 15,000 \n",
+ "4 INR 5,000 per month for 2 months \n",
+ "\n",
+ " description \\\n",
+ "0 Vidyadhan Odisha Plus 2 (1st year) Scholarship... \n",
+ "1 SERB International Research Experience (SIRE) ... \n",
+ "2 JSPN Scholarship 2022-23 is an initiative of J... \n",
+ "3 Virchow Scholarship Program is an initiative o... \n",
+ "4 TISS Guwahati Summer Internship Programme 2022... \n",
+ "\n",
+ " website \\\n",
+ "0 https://www.vidyadhan.org/apply \n",
+ "1 https://serbonline.in/SERB/Sire \n",
+ "2 https://www.srijspn.org/jspnapp/views/home.jsf... \n",
+ "3 https://www.buddy4study.com/application/VISC2/... \n",
+ "4 https://tiss.edu/uploads/files/ERB-SSR_Adverti... \n",
+ "\n",
+ " elegibility origin __v \\\n",
+ "0 Class 10 passed students India 0 \n",
+ "1 Ph.D. degree holders India 0 \n",
+ "2 Meritorious Madhwa community students India 0 \n",
+ "3 Class 10 and 12 Girl Students from Telangana &... India 0 \n",
+ "4 B.Tech./M.Tech./M.Sc. or final year postgradua... India 0 \n",
+ "\n",
+ " state elegibility2 elegibility3 createdAt updatedAt \n",
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+ ],
+ "text/html": [
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+ " | \n", + " | index | \n", + "_id | \n", + "title | \n", + "deadline | \n", + "award | \n", + "description | \n", + "website | \n", + "elegibility | \n", + "origin | \n", + "__v | \n", + "state | \n", + "elegibility2 | \n", + "elegibility3 | \n", + "createdAt | \n", + "updatedAt | \n", + "
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| 0 | \n", + "1 | \n", + "62ecdb7511eecc8d7863e2b6 | \n", + "Vidyadhan Odisha Plus 2 (1st year) Scholarship... | \n", + "22-08-2022 | \n", + "INR 10,000 per annum | \n", + "Vidyadhan Odisha Plus 2 (1st year) Scholarship... | \n", + "https://www.vidyadhan.org/apply | \n", + "Class 10 passed students | \n", + "India | \n", + "0 | \n", + "NaN | \n", + "NaN | \n", + "NaN | \n", + "NaN | \n", + "NaN | \n", + "
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"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "R1oRN_iiHN_7"
+ },
+ "source": [
+ "Importing the dependencies"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "id": "GAGi6hrzFLOb"
+ },
+ "source": [
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import difflib\n",
+ "from sklearn.feature_extraction.text import TfidfVectorizer\n",
+ "from sklearn.metrics.pairwise import cosine_similarity"
+ ],
+ "execution_count": 1,
+ "outputs": []
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "mfIW1BYVIGfP"
+ },
+ "source": [
+ "Data Collection and Pre-Processing"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "id": "MOXn7CGdIGBU"
+ },
+ "source": [
+ "# loading the data from the csv file to apandas dataframe\n",
+ "movies_data = pd.read_csv('/content/latest_Scholarship_data.csv')"
+ ],
+ "execution_count": 2,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 617
+ },
+ "id": "cha03lDAIa6l",
+ "outputId": "fabb1559-c53b-449b-8d4c-dfc7caebb55b"
+ },
+ "source": [
+ "# printing the first 5 rows of the dataframe\n",
+ "movies_data.head()"
+ ],
+ "execution_count": 3,
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ " _id \\\n",
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+ "4 62fa1086b308357159b6a381 \n",
+ "\n",
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+ "2 Saksham Scholarship Program for Graduate Stude... \n",
+ "3 Saksham Scholarship Program for Postgraduate S... \n",
+ "4 Santoor Scholarship Programme 2021-22 \n",
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+ "\n",
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+ "4 A future full of opportunities is now within y... \n",
+ "\n",
+ " website \\\n",
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+ "4 NaN \n",
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+ "3 Applicants must be studying in any year of the... India \n",
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| 2 | \n", + "62fa0af2b308357159b671d6 | \n", + "Saksham Scholarship Program for Graduate Stude... | \n", + "2022-08-31T00:00:00.000Z | \n", + "upto 15000 | \n", + "‘Saksham Scholarship Program for Drivers’ Chil... | \n", + "https://www.buddy4study.com/application/SKSP2/... | \n", + "Applicants must be studying in any year of the... | \n", + "India | \n", + "Applicants must have secured 60% and above mar... | \n", + "Annual family income of the applicants from al... | \n", + "Andhra Pradesh | \n", + "Graduation | \n", + "NaN | \n", + "400000 | \n", + "2022-08-15T08:59:30.849Z | \n", + "2022-08-15T09:00:01.600Z | \n", + "0 | \n", + "NaN | \n", + "NaN | \n", + "NaN | \n", + "
| 3 | \n", + "62fa0bebb308357159b675fc | \n", + "Saksham Scholarship Program for Postgraduate S... | \n", + "2022-08-31T00:00:00.000Z | \n", + "upto 20000 | \n", + "‘Saksham Scholarship Program for Drivers’ Chil... | \n", + "https://www.buddy4study.com/application/SKSP4/... | \n", + "Applicants must be studying in any year of the... | \n", + "India | \n", + "Applicants must have secured 60% and above mar... | \n", + "Annual family income of the applicants from al... | \n", + "Andhra Pradesh | \n", + "Post Graduation | \n", + "NaN | \n", + "400000 | \n", + "2022-08-15T09:03:39.220Z | \n", + "2022-08-15T09:03:39.220Z | \n", + "0 | \n", + "NaN | \n", + "NaN | \n", + "NaN | \n", + "
| 4 | \n", + "62fa1086b308357159b6a381 | \n", + "Santoor Scholarship Programme 2021-22 | \n", + "2023-01-20T00:00:00.000Z | \n", + "upto 24000 | \n", + "A future full of opportunities is now within y... | \n", + "NaN | \n", + "Available only for young women from underprivi... | \n", + "India | \n", + "Have passed Class 10 from a local government s... | \n", + "Have passed Class 12 from a government school/... | \n", + "Andhra Pradesh | \n", + "School Student | \n", + "Female | \n", + "NaN | \n", + "2022-08-15T09:23:18.757Z | \n", + "2022-08-15T09:23:18.757Z | \n", + "0 | \n", + "NaN | \n", + "NaN | \n", + "NaN | \n", + "