NEW PROJ: AI Real Estate Agent
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1 changed files with 10 additions and 7 deletions
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@ -68,7 +68,7 @@ class PropertyFindingAgent:
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raw_response = self.firecrawl.extract(
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urls=urls,
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params={
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'prompt': f"""Extract at least 3-10 different {property_category} {property_type_prompt} from {city} that cost less than {max_price} crores.
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'prompt': f"""Extract ONLY 10 OR LESS different {property_category} {property_type_prompt} from {city} that cost less than {max_price} crores.
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Requirements:
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- Property Category: {property_category} properties only
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@ -99,13 +99,16 @@ class PropertyFindingAgent:
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Properties Found in json format:
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{properties}
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**IMPORTANT: IN THESE VARIOUS PROPERTIES, RETRIEVE THE BEST 5-10 PROPERTIES ONLY BASED ON PRICE OF PROPERTY. IT SHOULD BE AS CLOSE AS POSSIBLE TO THE {max_price} CRORES.**
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Please provide:
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1. Bullet Point Information for each property that are available based on the user's requirements.
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2. Best value properties based on current market rates
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3. Location-specific advantages and price trends
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4. Specific recommendations based on the {property_category} {property_type} requirement
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5. Investment potential based on price trends
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6. Any red flags or concerns to consider
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1 FIRST RETRIEVE THE BEST 5-10 PROPERTIES ONLY BASED ON PRICE OF PROPERTY. IT SHOULD BE AS CLOSE AS POSSIBLE TO THE {max_price} CRORES.
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2. Bullet Point Information for each of retrieved propertiesthat are available based on the user's requirements.
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3. Best value properties based on current market rates
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4. Location-specific advantages and price trends
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5. Specific recommendations based on the {property_category} {property_type} requirement
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6. Investment potential based on price trends
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7. Any red flags or concerns to consider
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7. Negotiation tips for the best properties
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Format your response in a clear, structured way that helps the user make an informed decision.
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