diff --git a/.envrc b/.envrc
new file mode 100644
index 0000000..3550a30
--- /dev/null
+++ b/.envrc
@@ -0,0 +1 @@
+use flake
diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
new file mode 100644
index 0000000..ef4559a
--- /dev/null
+++ b/.github/workflows/test.yaml
@@ -0,0 +1,32 @@
+name: "Test and Build"
+
+on: [push]
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v4
+
+    - uses: actions/setup-python@v5
+      with:
+        python-version: "3.11"
+
+    - name: "Setup poetry"
+      uses: abatilo/actions-poetry@v2
+
+    - name: "Load cached venv"
+      id: cached-poetry-dependencies
+      uses: actions/cache@v4
+      with:
+        path: .venv
+        key: venv-${{ runner.os }}-${{ hashFiles('**/flake.lock') }}-${{ hashFiles('**/poetry.lock') }}
+
+    - name: "Install python dependencies"
+      if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true'
+      run: poetry install --no-interaction --no-root
+      shell: bash
+
+    - name: "Test"
+      run: 'shopt -s globstar && poetry run python -m unittest tests/**/*.py'
+      shell: bash
diff --git a/.gitignore b/.gitignore
index 68bc17f..048e7df 100644
--- a/.gitignore
+++ b/.gitignore
@@ -157,4 +157,6 @@ cython_debug/
 #  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
-#.idea/
+.idea/
+
+.direnv/
\ No newline at end of file
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..9d34f63
--- /dev/null
+++ b/README.md
@@ -0,0 +1,28 @@
+# PII Detection and Anonymiser
+
+This is a service that helps you detect and anonymise PII.
+
+## Prerequisites
+
+Run `./setup.sh` to install all dependencies. This will install [direnv](https://github.com/direnv/direnv/blob/master/docs/installation.md) and [nix](https://nixos.org/download.html) then simply run `direnv allow` to install all build dependencies.
+
+Alternatively, make sure you have [python 3.11](https://www.python.org/downloads/) and [poetry](https://python-poetry.org/docs/#installation) setup on your machine.
+
+## Getting Started
+
+To get started, run the following:
+
+```
+poetry install
+poetry run python -m unittest tests/**.py
+```
+
+## Troubleshooting
+
+There is a chance that `direnv allow` will not load the environment correctly and silently fail. This is observable when you attempt to run `poetry install`, as you will get a `command not found` error in the shell.
+To fix this, you need to run the nix commands directly. Run the following:
+
+```
+nix --extra-experimental-features 'nix-command flakes' develop
+```
+This command will create a new Shell instance which has the Nix dependencies loaded. You will need to run commands through this prompt.
diff --git a/analyzer_engine/__init__.py b/analyzer_engine/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/analyzer_engine/csv_analyzer_engine.py b/analyzer_engine/csv_analyzer_engine.py
new file mode 100644
index 0000000..72df2ae
--- /dev/null
+++ b/analyzer_engine/csv_analyzer_engine.py
@@ -0,0 +1,31 @@
+from presidio_analyzer import AnalyzerEngine
+from typing import List, Iterable, Optional
+
+from presidio_analyzer import BatchAnalyzerEngine, DictAnalyzerResult
+import csv
+
+
+class CSVAnalyzerEngine(BatchAnalyzerEngine):
+
+    def __init__(self, nlp_engine):
+        self.nlp_engine = nlp_engine
+        analyzer_engine = self.create_analyser_engine()
+        super().__init__(analyzer_engine)
+
+    def create_analyser_engine(self):
+        nlp_engine, registry = self.nlp_engine.create_nlp_engine()
+        analyzer = AnalyzerEngine(nlp_engine=nlp_engine, registry=registry)
+        return analyzer
+
+    def analyze_csv(
+            self,
+            csv_full_path: str,
+            language: str,
+            keys_to_skip: Optional[List[str]] = None,
+            **kwargs,
+    ) -> Iterable[DictAnalyzerResult]:
+        with open(csv_full_path, 'r') as csv_file:
+            csv_list = list(csv.reader(csv_file))
+            csv_dict = {header: list(map(str, values)) for header, *values in zip(*csv_list)}
+            analyzer_results = self.analyze_dict(csv_dict, language, keys_to_skip)
+            return list(analyzer_results)
diff --git a/config/__init__.py b/config/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/config/nlp_engine_config.py b/config/nlp_engine_config.py
new file mode 100644
index 0000000..1cdc905
--- /dev/null
+++ b/config/nlp_engine_config.py
@@ -0,0 +1,37 @@
+from recognizer.flair_recognizer import FlairRecognizer
+from presidio_analyzer import RecognizerRegistry
+from presidio_analyzer.nlp_engine import NlpEngineProvider
+import spacy
+
+
+class NLPEngineConfig:
+
+    def __init__(self, model_path):
+        self.model_path = model_path
+
+    def create_nlp_engine(self):
+        pass
+
+
+class FlairNLPEngine(NLPEngineConfig):
+    def create_nlp_engine(self):
+        '''
+        Flair doesn't have an official NLP Engine. Hence making it as a Recognizer to presidio
+        :param model_path:
+        :return:
+        '''
+        registry = RecognizerRegistry()
+        registry.load_predefined_recognizers()
+        if not spacy.util.is_package("en_core_web_sm"):
+            spacy.cli.download("en_core_web_sm")
+        flair_recognizer = FlairRecognizer(model_path=self.model_path)
+        nlp_configuration = {
+            "nlp_engine_name": "spacy",
+            "models": [{"lang_code": "en", "model_name": "en_core_web_sm"}],
+        }
+        registry.add_recognizer(flair_recognizer)
+        registry.remove_recognizer("SpacyRecognizer")
+
+        nlp_engine = NlpEngineProvider(nlp_configuration=nlp_configuration).create_engine()
+
+        return nlp_engine, registry
diff --git a/flake.lock b/flake.lock
new file mode 100644
index 0000000..f7d1464
--- /dev/null
+++ b/flake.lock
@@ -0,0 +1,175 @@
+{
+  "nodes": {
+    "flake-utils": {
+      "inputs": {
+        "systems": "systems"
+      },
+      "locked": {
+        "lastModified": 1710146030,
+        "narHash": "sha256-SZ5L6eA7HJ/nmkzGG7/ISclqe6oZdOZTNoesiInkXPQ=",
+        "owner": "numtide",
+        "repo": "flake-utils",
+        "rev": "b1d9ab70662946ef0850d488da1c9019f3a9752a",
+        "type": "github"
+      },
+      "original": {
+        "owner": "numtide",
+        "repo": "flake-utils",
+        "type": "github"
+      }
+    },
+    "flake-utils_2": {
+      "inputs": {
+        "systems": "systems_2"
+      },
+      "locked": {
+        "lastModified": 1705309234,
+        "narHash": "sha256-uNRRNRKmJyCRC/8y1RqBkqWBLM034y4qN7EprSdmgyA=",
+        "owner": "numtide",
+        "repo": "flake-utils",
+        "rev": "1ef2e671c3b0c19053962c07dbda38332dcebf26",
+        "type": "github"
+      },
+      "original": {
+        "owner": "numtide",
+        "repo": "flake-utils",
+        "type": "github"
+      }
+    },
+    "nix-github-actions": {
+      "inputs": {
+        "nixpkgs": [
+          "poetry2nix",
+          "nixpkgs"
+        ]
+      },
+      "locked": {
+        "lastModified": 1703863825,
+        "narHash": "sha256-rXwqjtwiGKJheXB43ybM8NwWB8rO2dSRrEqes0S7F5Y=",
+        "owner": "nix-community",
+        "repo": "nix-github-actions",
+        "rev": "5163432afc817cf8bd1f031418d1869e4c9d5547",
+        "type": "github"
+      },
+      "original": {
+        "owner": "nix-community",
+        "repo": "nix-github-actions",
+        "type": "github"
+      }
+    },
+    "nixpkgs": {
+      "locked": {
+        "lastModified": 1713714899,
+        "narHash": "sha256-+z/XjO3QJs5rLE5UOf015gdVauVRQd2vZtsFkaXBq2Y=",
+        "owner": "NixOS",
+        "repo": "nixpkgs",
+        "rev": "6143fc5eeb9c4f00163267708e26191d1e918932",
+        "type": "github"
+      },
+      "original": {
+        "owner": "NixOS",
+        "ref": "nixos-unstable",
+        "repo": "nixpkgs",
+        "type": "github"
+      }
+    },
+    "poetry2nix": {
+      "inputs": {
+        "flake-utils": "flake-utils_2",
+        "nix-github-actions": "nix-github-actions",
+        "nixpkgs": [
+          "nixpkgs"
+        ],
+        "systems": "systems_3",
+        "treefmt-nix": "treefmt-nix"
+      },
+      "locked": {
+        "lastModified": 1708589824,
+        "narHash": "sha256-2GOiFTkvs5MtVF65sC78KNVxQSmsxtk0WmV1wJ9V2ck=",
+        "owner": "nix-community",
+        "repo": "poetry2nix",
+        "rev": "3c92540611f42d3fb2d0d084a6c694cd6544b609",
+        "type": "github"
+      },
+      "original": {
+        "owner": "nix-community",
+        "repo": "poetry2nix",
+        "type": "github"
+      }
+    },
+    "root": {
+      "inputs": {
+        "flake-utils": "flake-utils",
+        "nixpkgs": "nixpkgs",
+        "poetry2nix": "poetry2nix"
+      }
+    },
+    "systems": {
+      "locked": {
+        "lastModified": 1681028828,
+        "narHash": "sha256-Vy1rq5AaRuLzOxct8nz4T6wlgyUR7zLU309k9mBC768=",
+        "owner": "nix-systems",
+        "repo": "default",
+        "rev": "da67096a3b9bf56a91d16901293e51ba5b49a27e",
+        "type": "github"
+      },
+      "original": {
+        "owner": "nix-systems",
+        "repo": "default",
+        "type": "github"
+      }
+    },
+    "systems_2": {
+      "locked": {
+        "lastModified": 1681028828,
+        "narHash": "sha256-Vy1rq5AaRuLzOxct8nz4T6wlgyUR7zLU309k9mBC768=",
+        "owner": "nix-systems",
+        "repo": "default",
+        "rev": "da67096a3b9bf56a91d16901293e51ba5b49a27e",
+        "type": "github"
+      },
+      "original": {
+        "owner": "nix-systems",
+        "repo": "default",
+        "type": "github"
+      }
+    },
+    "systems_3": {
+      "locked": {
+        "lastModified": 1681028828,
+        "narHash": "sha256-Vy1rq5AaRuLzOxct8nz4T6wlgyUR7zLU309k9mBC768=",
+        "owner": "nix-systems",
+        "repo": "default",
+        "rev": "da67096a3b9bf56a91d16901293e51ba5b49a27e",
+        "type": "github"
+      },
+      "original": {
+        "id": "systems",
+        "type": "indirect"
+      }
+    },
+    "treefmt-nix": {
+      "inputs": {
+        "nixpkgs": [
+          "poetry2nix",
+          "nixpkgs"
+        ]
+      },
+      "locked": {
+        "lastModified": 1708335038,
+        "narHash": "sha256-ETLZNFBVCabo7lJrpjD6cAbnE11eDOjaQnznmg/6hAE=",
+        "owner": "numtide",
+        "repo": "treefmt-nix",
+        "rev": "e504621290a1fd896631ddbc5e9c16f4366c9f65",
+        "type": "github"
+      },
+      "original": {
+        "owner": "numtide",
+        "repo": "treefmt-nix",
+        "type": "github"
+      }
+    }
+  },
+  "root": "root",
+  "version": 7
+}
diff --git a/flake.nix b/flake.nix
new file mode 100644
index 0000000..dccecb1
--- /dev/null
+++ b/flake.nix
@@ -0,0 +1,42 @@
+{
+  inputs = {
+    flake-utils.url = "github:numtide/flake-utils";
+    nixpkgs.url = "github:NixOS/nixpkgs/nixos-unstable";
+    poetry2nix = {
+      url = "github:nix-community/poetry2nix";
+      inputs.nixpkgs.follows = "nixpkgs";
+    };
+  };
+
+  outputs = { self, nixpkgs, flake-utils, poetry2nix }:
+    flake-utils.lib.eachDefaultSystem (system:
+      let
+        nativeBuildInputs = with pkgs; [ stdenv python3 poetry ];
+        buildInputs = with pkgs; [ ];
+
+        # see https://github.com/nix-community/poetry2nix/tree/master#api for more functions and examples.
+        pkgs = nixpkgs.legacyPackages.${system};
+        inherit (poetry2nix.lib.mkPoetry2Nix { inherit pkgs; })
+          mkPoetryApplication;
+      in {
+        inherit nativeBuildInputs buildInputs;
+
+        packages = {
+          myapp = mkPoetryApplication {
+            projectDir = self;
+            python = pkgs.python3;
+          };
+          default = self.packages.${system}.myapp;
+        };
+
+        devShells = {
+          default = pkgs.mkShell {
+            packages = nativeBuildInputs ++ buildInputs;
+            LD_LIBRARY_PATH = if pkgs.stdenv.isLinux then
+              "${pkgs.stdenv.cc.cc.lib}/lib:/run/opengl-driver/lib:/run/opengl-driver-32/lib"
+            else
+              "$LD_LIBRARY_PATH";
+          };
+        };
+      });
+}
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..0238185
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,3453 @@
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+
+[[package]]
+name = "accelerate"
+version = "0.29.2"
+description = "Accelerate"
+optional = false
+python-versions = ">=3.8.0"
+files = [
+    {file = "accelerate-0.29.2-py3-none-any.whl", hash = "sha256:f34c23e891ed2c60051408aede93b56daa556a1a894bb8b991acfadb37aaee4c"},
+    {file = "accelerate-0.29.2.tar.gz", hash = "sha256:b7b1c5db790906a7c3a36ffc37a23491fa55ed862bfd4c4ad3c63bd4d23772a2"},
+]
+
+[package.dependencies]
+huggingface-hub = "*"
+numpy = ">=1.17"
+packaging = ">=20.0"
+psutil = "*"
+pyyaml = "*"
+safetensors = ">=0.3.1"
+torch = ">=1.10.0"
+
+[package.extras]
+dev = ["bitsandbytes", "black (>=23.1,<24.0)", "datasets", "deepspeed", "evaluate", "hf-doc-builder (>=0.3.0)", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "rich", "ruff (>=0.2.1,<0.3.0)", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.2.1,<0.3.0)"]
+rich = ["rich"]
+sagemaker = ["sagemaker"]
+test-dev = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist"]
+test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
+testing = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+
+[[package]]
+name = "annotated-types"
+version = "0.6.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
+    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+]
+
+[[package]]
+name = "beautifulsoup4"
+version = "4.12.3"
+description = "Screen-scraping library"
+optional = false
+python-versions = ">=3.6.0"
+files = [
+    {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
+    {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"},
+]
+
+[package.dependencies]
+soupsieve = ">1.2"
+
+[package.extras]
+cchardet = ["cchardet"]
+chardet = ["chardet"]
+charset-normalizer = ["charset-normalizer"]
+html5lib = ["html5lib"]
+lxml = ["lxml"]
+
+[[package]]
+name = "blis"
+version = "0.7.11"
+description = "The Blis BLAS-like linear algebra library, as a self-contained C-extension."
+optional = false
+python-versions = "*"
+files = [
+    {file = "blis-0.7.11-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:cd5fba34c5775e4c440d80e4dea8acb40e2d3855b546e07c4e21fad8f972404c"},
+    {file = "blis-0.7.11-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:31273d9086cab9c56986d478e3ed6da6752fa4cdd0f7b5e8e5db30827912d90d"},
+    {file = "blis-0.7.11-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d06883f83d4c8de8264154f7c4a420b4af323050ed07398c1ff201c34c25c0d2"},
+    {file = "blis-0.7.11-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ee493683e3043650d4413d531e79e580d28a3c7bdd184f1b9cfa565497bda1e7"},
+    {file = "blis-0.7.11-cp310-cp310-win_amd64.whl", hash = "sha256:a73945a9d635eea528bccfdfcaa59dd35bd5f82a4a40d5ca31f08f507f3a6f81"},
+    {file = "blis-0.7.11-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1b68df4d01d62f9adaef3dad6f96418787265a6878891fc4e0fabafd6d02afba"},
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+    {file = "blis-0.7.11-cp311-cp311-win_amd64.whl", hash = "sha256:0dc9dcb3843045b6b8b00432409fd5ee96b8344a324e031bfec7303838c41a1a"},
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+    {file = "blis-0.7.11-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7de19264b1d49a178bf8035406d0ae77831f3bfaa3ce02942964a81a202abb03"},
+    {file = "blis-0.7.11-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ea55c6a4a60fcbf6a0fdce40df6e254451ce636988323a34b9c94b583fc11e5"},
+    {file = "blis-0.7.11-cp312-cp312-win_amd64.whl", hash = "sha256:5a305dbfc96d202a20d0edd6edf74a406b7e1404f4fa4397d24c68454e60b1b4"},
+    {file = "blis-0.7.11-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:68544a1cbc3564db7ba54d2bf8988356b8c7acd025966e8e9313561b19f0fe2e"},
+    {file = "blis-0.7.11-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:075431b13b9dd7b411894d4afbd4212acf4d0f56c5a20628f4b34902e90225f1"},
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+]
+
+[metadata]
+lock-version = "2.0"
+python-versions = ">=3.10,<3.12"
+content-hash = "cf3e5185e4c9cadbc2a3f4474254bd79904b50247a447ab29d4049363143b45a"
diff --git a/poetry.toml b/poetry.toml
new file mode 100644
index 0000000..7455858
--- /dev/null
+++ b/poetry.toml
@@ -0,0 +1,4 @@
+[virtualenvs]
+create = true
+in-project = true
+path = ".venv"
\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..54e78cc
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,20 @@
+[tool.poetry]
+name = "pii-detection-and-anonymizer"
+version = "0.1.0"
+description = ""
+authors = ["Akshay Karle <1443108+akshaykarle@users.noreply.github.com>"]
+license = "MIT"
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = ">=3.10,<3.12"
+flair = "^0.13.1"
+spacy = "^3.7.4"
+scipy = "<1.13.0"
+presidio-anonymizer = "^2.2.354"
+presidio-analyzer = {version = "^2.2.354", extras = ["transformers", "stanza"]}
+
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/recognizer/__init__.py b/recognizer/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/recognizer/flair_recognizer.py b/recognizer/flair_recognizer.py
new file mode 100644
index 0000000..134c568
--- /dev/null
+++ b/recognizer/flair_recognizer.py
@@ -0,0 +1,170 @@
+'''
+Referred from
+1. https://github.com/microsoft/presidio/blob/main/docs/samples/python/flair_recognizer.py
+2. https://huggingface.co/spaces/presidio/presidio_demo/blob/main/flair_recognizer.py
+
+'''
+from typing import Optional, List, Tuple, Set
+
+from presidio_analyzer import (
+    RecognizerResult,
+    EntityRecognizer,
+    AnalysisExplanation,
+)
+from presidio_analyzer.nlp_engine import NlpArtifacts
+
+from flair.data import Sentence
+from flair.models import SequenceTagger
+
+
+class FlairRecognizer(EntityRecognizer):
+    ENTITIES = [
+        "LOCATION",
+        "PERSON",
+        "ORGANIZATION",
+
+    ]
+
+    DEFAULT_EXPLANATION = "Identified as {} by Flair's Named Entity Recognition"
+
+    CHECK_LABEL_GROUPS = [
+        ({"LOCATION"}, {"LOC", "LOCATION"}),
+        ({"PERSON"}, {"PER", "PERSON"}),
+        ({"ORGANIZATION"}, {"ORG"}),
+
+    ]
+
+    MODEL_LANGUAGES = {"en": "flair/ner-english-large"}
+
+    PRESIDIO_EQUIVALENCES = {
+        "PER": "PERSON",
+        "LOC": "LOCATION",
+        "ORG": "ORGANIZATION",
+
+    }
+
+    def __init__(
+            self,
+            supported_language: str = "en",
+            supported_entities: Optional[List[str]] = None,
+            check_label_groups: Optional[Tuple[Set, Set]] = None,
+            model: SequenceTagger = None,
+            model_path: Optional[str] = None,
+    ):
+        self.check_label_groups = (
+            check_label_groups if check_label_groups else self.CHECK_LABEL_GROUPS
+        )
+
+        supported_entities = supported_entities if supported_entities else self.ENTITIES
+
+        if model and model_path:
+            raise ValueError("Only one of model or model_path should be provided.")
+        elif model and not model_path:
+            self.model = model
+        elif not model and model_path:
+            print(f"Loading model from {model_path}")
+            self.model = SequenceTagger.load(model_path)
+        else:
+            print(f"Loading model for language {supported_language}")
+            self.model = SequenceTagger.load(
+                self.MODEL_LANGUAGES.get(supported_language)
+            )
+
+        super().__init__(
+            supported_entities=supported_entities,
+            supported_language=supported_language,
+            name="Flair Analytics",
+        )
+
+    def load(self) -> None:
+        """Load the model, not used. Model is loaded during initialization."""
+        pass
+
+    def get_supported_entities(self) -> List[str]:
+        """
+        Return supported entities by this model.
+        :return: List of the supported entities.
+        """
+        return self.supported_entities
+
+    # Class to use Flair with Presidio as an external recognizer.
+    def analyze(
+            self, text: str, entities: List[str] = None, nlp_artifacts: NlpArtifacts = None
+    ) -> List[RecognizerResult]:
+        """
+        Analyze text using Text Analytics.
+        :param text: The text for analysis.
+        :param entities: Not working properly for this recognizer.
+        :param nlp_artifacts: Not used by this recognizer.
+        :param language: Text language. Supported languages in MODEL_LANGUAGES
+        :return: The list of Presidio RecognizerResult constructed from the recognized
+            Flair detections.
+        """
+
+        results = []
+
+        sentences = Sentence(text)
+        self.model.predict(sentences)
+
+        # If there are no specific list of entities, we will look for all of it.
+        if not entities:
+            entities = self.supported_entities
+
+        for entity in entities:
+            if entity not in self.supported_entities:
+                continue
+
+            for ent in sentences.get_spans("ner"):
+                if not self.__check_label(
+                        entity, ent.labels[0].value, self.check_label_groups
+                ):
+                    continue
+                textual_explanation = self.DEFAULT_EXPLANATION.format(
+                    ent.labels[0].value
+                )
+                explanation = self.build_flair_explanation(
+                    round(ent.score, 2), textual_explanation
+                )
+                flair_result = self._convert_to_recognizer_result(ent, explanation)
+
+                results.append(flair_result)
+
+        return results
+
+    def _convert_to_recognizer_result(self, entity, explanation) -> RecognizerResult:
+        entity_type = self.PRESIDIO_EQUIVALENCES.get(entity.tag, entity.tag)
+        flair_score = round(entity.score, 2)
+
+        flair_results = RecognizerResult(
+            entity_type=entity_type,
+            start=entity.start_position,
+            end=entity.end_position,
+            score=flair_score,
+            analysis_explanation=explanation,
+        )
+
+        return flair_results
+
+    def build_flair_explanation(
+            self, original_score: float, explanation: str
+    ) -> AnalysisExplanation:
+        """
+        Create explanation for why this result was detected.
+        :param original_score: Score given by this recognizer
+        :param explanation: Explanation string
+        :return:
+        """
+        explanation = AnalysisExplanation(
+            recognizer=self.__class__.__name__,
+            original_score=original_score,
+            textual_explanation=explanation,
+        )
+        return explanation
+
+    @staticmethod
+    def __check_label(
+            entity: str, label: str, check_label_groups: Tuple[Set, Set]
+    ) -> bool:
+        return any(
+            [entity in egrp and label in lgrp for egrp, lgrp in check_label_groups]
+        )
diff --git a/sample_data.csv b/sample_data.csv
new file mode 100644
index 0000000..713bac3
--- /dev/null
+++ b/sample_data.csv
@@ -0,0 +1,4 @@
+id,name,city,comments
+1,Sowmya,New York,called him yesterday to confirm he requested to call back in 2 days
+2,Jill,Los Angeles,accepted the offer license number AC432223
+3,Jack,Chicago,need to call him at phone number 212-555-5555
\ No newline at end of file
diff --git a/setup.sh b/setup.sh
new file mode 100755
index 0000000..6cad5d3
--- /dev/null
+++ b/setup.sh
@@ -0,0 +1,21 @@
+#!/usr/bin/env bash
+set -e
+
+# setup nix
+if command -v nix >/dev/null; then
+    echo "nix is already installed on this system."
+else
+    echo "Installing nix package manager"
+    curl -L https://nixos.org/nix/install | sh
+    source ~/.nix-profile/etc/profile.d/nix.sh
+fi
+
+# setup direnv
+if command -v direnv >/dev/null; then
+    echo "direnv is already installed on this system."
+else
+    echo "Installing direnv"
+    nix-env -f '<nixpkgs>' -iA direnv nix-direnv
+fi
+
+direnv allow
diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/analyzer_engine/__init__.py b/tests/analyzer_engine/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/analyzer_engine/csv_analyzer_engine_test.py b/tests/analyzer_engine/csv_analyzer_engine_test.py
new file mode 100644
index 0000000..84db309
--- /dev/null
+++ b/tests/analyzer_engine/csv_analyzer_engine_test.py
@@ -0,0 +1,22 @@
+import unittest
+
+from analyzer_engine.csv_analyzer_engine import CSVAnalyzerEngine
+from config.nlp_engine_config import FlairNLPEngine
+
+
+class CSVAnalayzerEngineTest(unittest.TestCase):
+    def setUp(self) -> None:
+        nlp_engine = FlairNLPEngine("flair/ner-english-large")
+        self.csv_analyser = CSVAnalyzerEngine(nlp_engine)
+
+    def test_csv_analyzer_engine_anonymizer(self):
+        import pprint
+        from presidio_anonymizer import BatchAnonymizerEngine
+        analyzer_results = self.csv_analyser.analyze_csv('./sample_data.csv', language="en")
+
+        pprint.pprint(analyzer_results)
+
+        anonymizer = BatchAnonymizerEngine()
+        anonymized_results = anonymizer.anonymize_dict(analyzer_results)
+        pprint.pprint(anonymized_results)
+        self.assertIsNotNone(anonymized_results)
\ No newline at end of file
diff --git a/tests/analyzer_engine/sample_data.csv b/tests/analyzer_engine/sample_data.csv
new file mode 100644
index 0000000..713bac3
--- /dev/null
+++ b/tests/analyzer_engine/sample_data.csv
@@ -0,0 +1,4 @@
+id,name,city,comments
+1,Sowmya,New York,called him yesterday to confirm he requested to call back in 2 days
+2,Jill,Los Angeles,accepted the offer license number AC432223
+3,Jack,Chicago,need to call him at phone number 212-555-5555
\ No newline at end of file
diff --git a/tests/recognizer/__init__.py b/tests/recognizer/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/recognizer/flair_recognizer_test.py b/tests/recognizer/flair_recognizer_test.py
new file mode 100644
index 0000000..032b668
--- /dev/null
+++ b/tests/recognizer/flair_recognizer_test.py
@@ -0,0 +1,20 @@
+import unittest
+
+from recognizer.flair_recognizer import FlairRecognizer
+
+
+class TestFlairRecognizer(unittest.TestCase):
+    def setUp(self) -> None:
+        self.recognizer = FlairRecognizer(model_path="flair/ner-english-large")
+
+    def test_flair_recognizer_analyse(self):
+        test_data = "Sowmya is working in Berkley bank as an accountant since 2021"
+        result = self.recognizer.analyze(test_data)
+        self.assertGreater(len(result), 0)
+
+    def test_flair_recognizes_persons_correctly(self):
+        test_data = "Sowmya is a person name"
+        self.assertGreater(len(self.recognizer.analyze(test_data)), 0)
+        test_data = "XXXXXX is a valid name?"
+        self.assertEquals(len(self.recognizer.analyze(test_data)), 0)
+