ATS app

.gitignore

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+.env

README.md

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+---
+title: ATS-Tracking-System Application
+emoji: 🦀
+colorFrom: blue
+colorTo: indigo
+sdk: streamlit
+sdk_version: 1.39.0
+app_file: app.py
+pinned: false
+---

app.py

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+from langchain_google_genai import ChatGoogleGenerativeAI
+import streamlit as st
+from dotenv import load_dotenv
+from langchain.prompts import PromptTemplate
+import PyPDF2 as pdf
+import os
+
+load_dotenv()
+
+
+
+GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
+
+
+# gemini pro response
+def get_gemini_response(resume_text,job_description):
+    
+    # llm
+    llm = ChatGoogleGenerativeAI(model="gemini-1.5-pro",temperature=0,)
+    
+    
+    # prompt
+    prompt_template = """
+    Hey asct like a skilled or very experience ATS(Application Tracking System)
+    with a deep understanding of tech fields, Software Engineering, Data Science,
+    Fullstack web dwvelopment, Big Data Engineering, DEVOPS, Data Analyest,ML and DL Engineering,
+    Generative AI engineering and having deep ATS functionality,
+    Your Task is to avaluate the resume  based on the given job description. 
+    You must consider the job market is very competitive and you should provide best assistance
+    for improving the resumes. Assign the percentage Matching based on the jd and
+    the missing keywordswith high accuracy 
+    resume:{text}
+    description:{job_description} 
+
+    I want the reason that having structure
+    {{"JD Match":"%",
+    "MissingKeywieds:[]", 
+    "Profile Summary":""}}
+
+    """
+    prompt = PromptTemplate(template=prompt_template, input_variables=["text", "job_description"] )
+    
+    
+    # chaining 
+    chain = prompt | llm
+    
+    # invoke the response
+    response = chain.invoke({"text":resume_text, "job_description":job_description })
+    return response.content
+
+
+
+# extract the text from uploaded_file
+def input_pdf_text(uploaded_file):
+    reader = pdf.PdfReader(uploaded_file)
+    text=""
+    for page_num in range(len(reader.pages)):
+        page = reader.pages[page_num]
+        text+=page.extract_text()
+    return text
+
+    
+    
+# streamlit app
+st.set_page_config(page_title="ATS Resume Expert")
+st.header("ATS Tracking System")
+st.text("Improve Your Resume Through ATS")
+
+job_description = st.text_area("Past the Job Description :")
+
+uploaded_file = st.file_uploader("Upload Your Resume" ,type="pdf", help="please upload the pdf")
+
+if uploaded_file is not None:
+    st.write("PDF Uploaded Successfully")
+    
+submit = st.button("Submit")
+
+if submit:
+    if uploaded_file is not None:
+        resume_text = input_pdf_text(uploaded_file)
+        response = get_gemini_response(resume_text,job_description)
+        st.subheader("The response is:")
+        st.write(response)
+    else:
+        st.write("please upload a resume")  
+    
+    
+

pyproject.toml

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+[tool.poetry]
+name = "resume application tracking system(ats) app using  gemini"
+version = "0.1.0"
+description = ""
+authors = ["Nasir Abbas <akhtarabbas.islamicreaction@gmail.com>"]
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "^3.12"
+python-dotenv = "^1.0.1"
+streamlit = "^1.39.0"
+pypdf2 = "^3.0.1"
+langchain-google-genai = "^2.0.1"
+
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

requirements.txt

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+streamlit
+langchain-google-genai
+python-dotenv 
+PyPDF2