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Dockerfile

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+FROM python:3.11-slim
+
+WORKDIR /app
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY main.py .
+
+EXPOSE 7860
+
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

main.py

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+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
+from typing import List
+import anthropic
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+app = FastAPI()
+
+# Allow React frontend to talk to backend
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=[
+        "http://localhost:3000",
+        "https://anuj1729-collegeedge-frontend.hf.space",
+    ],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+# --- Models ---
+class ChildProfile(BaseModel):
+    name: str
+    grade: int                        # 6 to 12
+    interests: List[str]              # e.g. ["coding", "music", "sports"]
+    dream_colleges: List[str]         # e.g. ["MIT", "Stanford"]
+    career_goals: str                 # e.g. "I want to be a software engineer"
+
+class Plan(BaseModel):
+    activities: List[str]
+    volunteering: List[str]
+    summer_programs: List[str]
+    skills_certifications: List[str]
+    monthly_tracker: List[str]
+    essay_topics: List[str]
+
+
+# --- Helper: Build AI Prompt ---
+def build_prompt(profile: ChildProfile) -> str:
+    return f"""
+You are a college admissions expert helping parents build a personalized 
+college readiness plan for their child.
+
+Child Profile:
+- Name: {profile.name}
+- Grade: {profile.grade}
+- Interests: {", ".join(profile.interests)}
+- Dream Colleges: {", ".join(profile.dream_colleges)}
+- Career Goals: {profile.career_goals}
+
+Generate a personalized college readiness plan with exactly these 6 sections.
+Respond ONLY in valid JSON with these exact keys, no extra text:
+
+{{
+  "activities": ["5 specific club or activity recommendations"],
+  "volunteering": ["5 specific volunteering opportunities"],
+  "summer_programs": ["5 specific summer program suggestions"],
+  "skills_certifications": ["5 specific skills or certifications to pursue"],
+  "monthly_tracker": ["12 monthly goals from January to December"],
+  "essay_topics": ["5 college essay topic ideas based on their profile"]
+}}
+"""
+
+
+# --- Routes ---
+@app.get("/")
+def root():
+    return {"message": "CollegeEdge API is running!"}
+
+
+@app.post("/generate-plan", response_model=Plan)
+def generate_plan(profile: ChildProfile):
+    client = anthropic.Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))
+
+    message = client.messages.create(
+        model="claude-opus-4-6",
+        max_tokens=2000,
+        messages=[
+            {"role": "user", "content": build_prompt(profile)}
+        ]
+    )
+
+    import json
+    import re
+
+    raw = message.content[0].text.strip()
+
+    # Strip markdown code blocks if Claude wraps response in ```json ... ```
+    raw = re.sub(r"```json|```", "", raw).strip()
+
+    if not raw:
+        raise ValueError("Empty response from Claude")
+
+    parsed = json.loads(raw)
+    return Plan(**parsed)

requirements.txt

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+annotated-doc==0.0.4
+annotated-types==0.7.0
+anthropic==0.84.0
+anyio==4.12.1
+certifi==2026.2.25
+click==8.3.1
+distro==1.9.0
+docstring_parser==0.17.0
+fastapi==0.135.1
+h11==0.16.0
+httpcore==1.0.9
+httpx==0.28.1
+idna==3.11
+jiter==0.13.0
+pydantic==2.12.5
+pydantic_core==2.41.5
+python-dotenv==1.2.2
+sniffio==1.3.1
+starlette==0.52.1
+typing-inspection==0.4.2
+typing_extensions==4.15.0
+uvicorn==0.41.0