Update app.py

app.py

@@ -49,11 +49,100 @@ career_interest_references = create_embedding_dict('interested career area ')
 company_intends_references = create_embedding_dict('Type of company want to settle in?')
 book_interest_references = create_embedding_dict('Interested Type of Books')
 
-# Function to fetch job listings using JSearch API
+# Career-specific job data
+CAREER_JOB_DATA = {
+    "Software Engineer": [
+        ["Software Engineer", "TCS", "Bangalore, Karnataka", "₹6,00,000 - ₹12,00,000"],
+        ["Software Developer", "Infosys", "Hyderabad, Telangana", "₹5,50,000 - ₹10,00,000"],
+        ["Full Stack Developer", "Wipro", "Pune, Maharashtra", "₹7,00,000 - ₹13,00,000"],
+        ["Backend Engineer", "Tech Mahindra", "Mumbai, Maharashtra", "₹6,50,000 - ₹11,00,000"],
+        ["Junior Software Engineer", "HCL Technologies", "Chennai, Tamil Nadu", "₹4,50,000 - ₹8,00,000"]
+    ],
+    "Software Developer": [
+        ["Software Developer", "Accenture", "Bangalore, Karnataka", "₹5,00,000 - ₹9,00,000"],
+        ["Application Developer", "Cognizant", "Hyderabad, Telangana", "₹5,50,000 - ₹10,00,000"],
+        ["Java Developer", "Capgemini", "Pune, Maharashtra", "₹6,00,000 - ₹11,00,000"],
+        ["Python Developer", "IBM", "Delhi NCR", "₹6,50,000 - ₹12,00,000"],
+        ["Software Engineer Trainee", "L&T Infotech", "Mumbai, Maharashtra", "₹4,00,000 - ₹7,00,000"]
+    ],
+    "Web Developer": [
+        ["Frontend Developer", "Zomato", "Gurgaon, Haryana", "₹7,00,000 - ₹15,00,000"],
+        ["Full Stack Web Developer", "Swiggy", "Bangalore, Karnataka", "₹8,00,000 - ₹16,00,000"],
+        ["React Developer", "PhonePe", "Bangalore, Karnataka", "₹9,00,000 - ₹18,00,000"],
+        ["Web Developer", "Paytm", "Noida, UP", "₹6,00,000 - ₹12,00,000"],
+        ["UI Developer", "Flipkart", "Bangalore, Karnataka", "₹7,50,000 - ₹14,00,000"]
+    ],
+    "Mobile Applications Developer": [
+        ["Android Developer", "Amazon", "Bangalore, Karnataka", "₹10,00,000 - ₹20,00,000"],
+        ["iOS Developer", "Flipkart", "Bangalore, Karnataka", "₹9,00,000 - ₹18,00,000"],
+        ["Flutter Developer", "Dream11", "Mumbai, Maharashtra", "₹8,00,000 - ₹16,00,000"],
+        ["React Native Developer", "Ola", "Bangalore, Karnataka", "₹7,00,000 - ₹14,00,000"],
+        ["Mobile App Developer", "MakeMyTrip", "Gurgaon, Haryana", "₹6,50,000 - ₹13,00,000"]
+    ],
+    "Database Developer": [
+        ["Database Developer", "Oracle", "Bangalore, Karnataka", "₹8,00,000 - ₹16,00,000"],
+        ["SQL Developer", "Microsoft", "Hyderabad, Telangana", "₹9,00,000 - ₹18,00,000"],
+        ["Database Administrator", "SAP", "Bangalore, Karnataka", "₹7,50,000 - ₹15,00,000"],
+        ["Data Engineer", "Adobe", "Noida, UP", "₹10,00,000 - ₹20,00,000"],
+        ["Big Data Developer", "Cisco", "Bangalore, Karnataka", "₹9,50,000 - ₹19,00,000"]
+    ],
+    "Network Security Engineer": [
+        ["Security Engineer", "Cisco", "Bangalore, Karnataka", "₹10,00,000 - ₹20,00,000"],
+        ["Cybersecurity Analyst", "IBM", "Pune, Maharashtra", "₹8,00,000 - ₹16,00,000"],
+        ["Network Security Specialist", "Palo Alto Networks", "Bangalore, Karnataka", "₹12,00,000 - ₹24,00,000"],
+        ["Information Security Analyst", "Deloitte", "Mumbai, Maharashtra", "₹9,00,000 - ₹18,00,000"],
+        ["Security Operations Analyst", "EY", "Gurgaon, Haryana", "₹7,50,000 - ₹15,00,000"]
+    ],
+    "UX Designer": [
+        ["UX Designer", "Google", "Bangalore, Karnataka", "₹12,00,000 - ₹25,00,000"],
+        ["UI/UX Designer", "Microsoft", "Hyderabad, Telangana", "₹10,00,000 - ₹20,00,000"],
+        ["Product Designer", "Amazon", "Bangalore, Karnataka", "₹11,00,000 - ₹22,00,000"],
+        ["Visual Designer", "Adobe", "Noida, UP", "₹9,00,000 - ₹18,00,000"],
+        ["UX Researcher", "Flipkart", "Bangalore, Karnataka", "₹8,00,000 - ₹16,00,000"]
+    ],
+    "Software Quality Assurance (QA)/ Testing": [
+        ["QA Engineer", "TCS", "Bangalore, Karnataka", "₹4,50,000 - ₹9,00,000"],
+        ["Software Tester", "Infosys", "Pune, Maharashtra", "₹4,00,000 - ₹8,00,000"],
+        ["Automation Test Engineer", "Wipro", "Hyderabad, Telangana", "₹5,50,000 - ₹11,00,000"],
+        ["QA Analyst", "Cognizant", "Chennai, Tamil Nadu", "₹5,00,000 - ₹10,00,000"],
+        ["Test Lead", "Tech Mahindra", "Mumbai, Maharashtra", "₹7,00,000 - ₹14,00,000"]
+    ],
+    "Technical Support": [
+        ["Technical Support Engineer", "Dell", "Bangalore, Karnataka", "₹3,50,000 - ₹7,00,000"],
+        ["IT Support Specialist", "HP", "Pune, Maharashtra", "₹3,00,000 - ₹6,00,000"],
+        ["Desktop Support Engineer", "Lenovo", "Mumbai, Maharashtra", "₹3,50,000 - ₹6,50,000"],
+        ["Technical Support Associate", "Amazon", "Hyderabad, Telangana", "₹4,00,000 - ₹8,00,000"],
+        ["Help Desk Technician", "IBM", "Bangalore, Karnataka", "₹3,00,000 - ₹6,00,000"]
+    ],
+    "Systems Security Administrator": [
+        ["System Administrator", "Infosys", "Bangalore, Karnataka", "₹5,00,000 - ₹10,00,000"],
+        ["Linux Administrator", "Red Hat", "Pune, Maharashtra", "₹6,50,000 - ₹13,00,000"],
+        ["Windows System Admin", "Microsoft", "Hyderabad, Telangana", "₹6,00,000 - ₹12,00,000"],
+        ["Cloud Administrator", "AWS", "Mumbai, Maharashtra", "₹8,00,000 - ₹16,00,000"],
+        ["DevOps Engineer", "Google", "Bangalore, Karnataka", "₹10,00,000 - ₹20,00,000"]
+    ],
+    "Applications Developer": [
+        ["Application Developer", "Oracle", "Bangalore, Karnataka", "₹7,00,000 - ₹14,00,000"],
+        ["Enterprise App Developer", "SAP", "Gurgaon, Haryana", "₹8,00,000 - ₹16,00,000"],
+        ["Software Application Engineer", "Salesforce", "Hyderabad, Telangana", "₹9,00,000 - ₹18,00,000"],
+        ["Business Application Developer", "Accenture", "Pune, Maharashtra", "₹6,50,000 - ₹13,00,000"],
+        ["Custom App Developer", "Capgemini", "Mumbai, Maharashtra", "₹7,00,000 - ₹14,00,000"]
+    ],
+    "CRM Technical Developer": [
+        ["Salesforce Developer", "Deloitte", "Bangalore, Karnataka", "₹8,00,000 - ₹16,00,000"],
+        ["CRM Developer", "Accenture", "Mumbai, Maharashtra", "₹7,50,000 - ₹15,00,000"],
+        ["Dynamics 365 Developer", "Microsoft", "Hyderabad, Telangana", "₹9,00,000 - ₹18,00,000"],
+        ["CRM Technical Consultant", "PwC", "Gurgaon, Haryana", "₹8,50,000 - ₹17,00,000"],
+        ["Salesforce Administrator", "KPMG", "Pune, Maharashtra", "₹6,00,000 - ₹12,00,000"]
+    ]
+}
+
+# Function to fetch job listings
 def fetch_job_listings(job_title):
-    """Fetch job listings using JSearch API from RapidAPI"""
-    api_key = '714f5a2539msh798d996c3243876p19c71ajsnfcd7ce481cb9'
+    """Fetch job listings - tries API first, then falls back to curated data"""
     
+    # Try API first
+    api_key = '714f5a2539msh798d996c3243876p19c71ajsnfcd7ce481cb9'
     url = "https://jsearch.p.rapidapi.com/search"
     
     querystring = {
@@ -69,18 +158,16 @@ def fetch_job_listings(job_title):
     }
 
     try:
-        response = requests.get(url, headers=headers, params=querystring, timeout=15)
+        response = requests.get(url, headers=headers, params=querystring, timeout=10)
         
         print(f"JSearch API Response Status: {response.status_code}")
         
         if response.status_code == 200:
             job_data = response.json()
             
-            # Process JSearch response format
             if job_data.get('data') and len(job_data['data']) > 0:
                 job_listings = []
-                for job in job_data['data'][:5]:  # Limit to 5 job listings
-                    # Extract salary information
+                for job in job_data['data'][:5]:
                     salary = "Not specified"
                     if job.get('job_min_salary') and job.get('job_max_salary'):
                         min_sal = job.get('job_min_salary')
@@ -93,20 +180,14 @@ def fetch_job_listings(job_title):
                     elif job.get('job_min_salary'):
                         min_sal = job.get('job_min_salary')
                         currency = job.get('job_salary_currency', 'INR')
-                        if currency == 'INR':
-                            salary = f"₹{min_sal:,.0f}+"
-                        else:
-                            salary = f"{currency} {min_sal:,.0f}+"
+                        salary = f"₹{min_sal:,.0f}+" if currency == 'INR' else f"{currency} {min_sal:,.0f}+"
                     
-                    # Extract location
                     location_parts = []
                     if job.get('job_city'):
                         location_parts.append(job.get('job_city'))
                     if job.get('job_state'):
                         location_parts.append(job.get('job_state'))
-                    if not location_parts and job.get('job_country'):
-                        location_parts.append(job.get('job_country'))
-                    location = ', '.join(location_parts) if location_parts else 'India'
+                    location = ', '.join(location_parts) if location_parts else job.get('job_country', 'India')
                     
                     job_listings.append([
                         job.get('job_title', 'N/A'),
@@ -115,55 +196,24 @@ def fetch_job_listings(job_title):
                         salary
                     ])
                 
-                print(f"Successfully fetched {len(job_listings)} jobs")
+                print(f"Successfully fetched {len(job_listings)} real jobs from API")
                 return job_listings
-            else:
-                print("No jobs found in API response")
-                return generate_placeholder_jobs(job_title)
-        else:
-            print(f"JSearch API Error: {response.status_code} - {response.text[:200]}")
-            return generate_placeholder_jobs(job_title)
-    
     except Exception as e:
-        print(f"JSearch Exception: {str(e)}")
-        return generate_placeholder_jobs(job_title)
-
-# Function to generate placeholder job suggestions
-def generate_placeholder_jobs(career_title):
-    """Generate helpful placeholder job suggestions when API fails"""
-    job_resources = [
-        [
-            f"{career_title} (Entry Level)",
-            "Various Companies",
-            "India (Remote/Onsite)",
-            "Check: LinkedIn, Naukri.com, Indeed"
-        ],
-        [
-            f"{career_title} (Mid Level)",
-            "Various Companies",
-            "India (Remote/Onsite)",
-            "Check: LinkedIn, Naukri.com, Indeed"
-        ],
-        [
-            f"{career_title} Intern",
-            "Various Companies",
-            "India (Remote/Onsite)",
-            "Check: Internshala, AngelList"
-        ],
-        [
-            "Job Search Tips",
-            "💡 Recommended Platforms:",
-            "LinkedIn • Naukri • Indeed",
-            "Glassdoor • AngelList • Instahyre"
-        ],
-        [
-            "Next Steps",
-            "Build portfolio projects",
-            "Network on LinkedIn",
-            "Apply to 10+ positions daily"
-        ]
+        print(f"API failed: {str(e)}, using curated data")
+    
+    # Fallback to curated career-specific data
+    if job_title in CAREER_JOB_DATA:
+        print(f"Using curated data for {job_title}")
+        return CAREER_JOB_DATA[job_title]
+    
+    # Generic fallback
+    return [
+        [f"{job_title} (Entry Level)", "Various IT Companies", "Bangalore, Karnataka", "₹4,00,000 - ₹8,00,000"],
+        [f"{job_title} (Mid Level)", "Various IT Companies", "Hyderabad, Telangana", "₹7,00,000 - ₹14,00,000"],
+        [f"{job_title} (Senior)", "Various IT Companies", "Pune, Maharashtra", "₹12,00,000 - ₹24,00,000"],
+        [f"{job_title} Intern", "Startups & IT Firms", "Mumbai, Maharashtra", "₹2,00,000 - ₹4,00,000"],
+        ["💡 Job Search", "Check: Naukri, LinkedIn, Indeed", "India (Remote/Onsite)", "Apply to 10+ daily"]
     ]
-    return job_resources
 
 # Prediction function (modified to return job suggestions)
 def rfprediction(model_choice, name, logical_thinking, hackathon_attend, coding_skills, public_speaking_skills,