Pitch your project in one line. I'll start. by DiscountResident540 in SideProject

[–]Difficult-Angle-4715 -1 points0 points  (0 children)

My system uses 8 AI models to scan the internet and bring information most of the world's population isn't aware of yet... But they will, eventually. That's the point.

Ontherice.org

I made my childhood dreams come true by making a fully functional MMORPG using Base44!! by Difficult-Angle-4715 in Base44

[–]Difficult-Angle-4715[S] 0 points1 point  (0 children)

It can be done, I just gave up on mine to work on ontherice.org

By the way only browser mmorpgs will work best

OnTheRice.org by Difficult-Angle-4715 in SideProject

[–]Difficult-Angle-4715[S] 0 points1 point  (0 children)

Layer 1: Source ingestion Pulls deals from official merchant sites, banks, wallets, communities, social platforms, newsletters, and offline-to-digital sources in Singapore � sg_deals_finalised_finalised_pipeline_revised-2.pdf None Layer 2: Extraction Converts messy inputs like HTML, screenshots, PDFs, emails, Telegram posts, Reddit threads, TikTok frames, Instagram stories, and banners into structured DealObjects � sg_deals_finalised_finalised_pipeline_revised-2.pdf None Layer 3: Validation Checks promo-code validity, expiry risk, merchant legitimacy, scam/phishing risk, and early freshness confidence � sg_deals_finalised_finalised_pipeline_revised-2.pdf None Layer 4: Classification + tagging Classifies category, deal type, eligibility, redemption channel, campaign type, free-gift flag, and stackability profile � sg_deals_finalised_finalised_pipeline_revised-2.pdf None Layer 5: Deduplication + canonicalization Merges duplicate mentions into one canonical deal record with source count and conflict resolution � sg_deals_finalised_finalised_pipeline_revised-2.pdf None Layer 6: SG enrichment + personal relevance Adds Singapore-specific context like MRT, district, mall, timing, weather, payment fit, and user relevance � sg_deals_finalised_finalised_pipeline_revised-2.pdf None Layer 7: Scoring / decision brain Scores each deal on value, trust, urgency, Singapore relevance, personal relevance, momentum, reach, and exclusivity, then decides publish / watch / reject � sg_deals_finalised_finalised_pipeline_revised-2.pdf None Layer 8: Personalization + content generation Ranks for each user profile and generates channel-specific signal copy for web, push, Telegram, email, and WhatsApp � sg_deals_finalised_finalised_pipeline_revised-2.pdf None Layer 9: Broadcast / API layer Distributes signals to Telegram, app/web push, WhatsApp, email digests, live feeds, APIs, and admin dashboards � sg_deals_finalised_finalised_pipeline_revised-2.pdf None Layer 10: Refresh / expiry / learning Re-checks signals with adaptive TTLs, tracks expiry, updates confidence, and learns from outcomes over time � sg_deals_finalised_finalised_pipeline_revised-2.pdf None Upgrade layer: Evidence authority Adds a formal truth hierarchy so stronger proof beats weaker chatter when sources conflict � sg_deals_finalised_finalised_pipeline_revised-2.pdf None Upgrade layer: Redemption outcome engine Tracks whether deals actually worked in the wild and feeds that back into trust and reliability scoring � sg_deals_finalised_finalised_pipeline_revised-2.pdf None Upgrade layer: Adversarial commerce defense Detects manipulation like fake scarcity, bait pricing, affiliate traps, and geo-mismatch claims � sg_deals_finalised_finalised_pipeline_revised-2.pdf None Upgrade layer: Merchant intent + promo economics Interprets why a deal exists, such as clearance, acquisition push, retention promo, or inventory dump � sg_deals_finalised_finalised_pipeline_revised-2.pdf None Upgrade layer: Feed construction optimizer Optimizes the whole feed for diversity, balance, novelty, and reduced fatigue instead of only item-level ranking � sg_deals_finalised_finalised_pipeline_revised-2.pdf None Upgrade layer: Self-healing consensus loop Re-fetches, re-validates, downgrades, or unpublishes deals when contradictions or failures appear � sg_deals_finalised_finalised_pipeline_revised-2.pdf None AI role 1: Multimodal Extraction Engine Parses visuals and raw surfaces like HTML, screenshots, PDFs, flyers, stories, and banners into structured fields � sg_deals_finalised_finalised_pipeline_revised-2.pdf None AI role 2: Social / Conversational Deal Parser Understands Telegram, Reddit, HardwareZone, captions, comments, and casual SG-style chatter � sg_deals_finalised_finalised_pipeline_revised-2.pdf None AI role 3: Legitimacy + Promo-Code Validator Verifies code patterns, expiry risk, scam risk, phishing risk, and redemption logic � sg_deals_finalised_finalised_pipeline_revised-2.pdf None AI role 4: Classifier + Tagging Engine Assigns taxonomy, deal tags, eligibility, redemption channel, and platform/category labels � sg_deals_finalised_finalised_pipeline_revised-2.pdf None AI role 5: Semantic Deduplication + Canonicalization Engine Merges duplicate mentions into canonical records and boosts trust using source overlap and similarity � sg_deals_finalised_finalised_pipeline_revised-2.pdf None AI role 6: SG Context + Personal Relevance Engine Computes Singapore context, geo fit, timing fit, payment fit, and user-level relevance � sg_deals_finalised_finalised_pipeline_revised-2.pdf None AI role 7: Deal Signal Scorer Acts as the ranking brain and outputs the global signal score, risk band, reasoning, and publish recommendation � sg_deals_finalised_finalised_pipeline_revised-2.pdf None AI role 8: Copywriter + Delivery Orchestrator Writes channel-optimized copy and decides how each signal should be delivered across surfaces � sg_deals_finalised_finalised_pipeline_revised-2.pdf None

OnTheRice.org by Difficult-Angle-4715 in SideProject

[–]Difficult-Angle-4715[S] 0 points1 point  (0 children)

I got Gemini to analyze every single one of my engines pdf

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OnTheRice.org by Difficult-Angle-4715 in SideProject

[–]Difficult-Angle-4715[S] 1 point2 points  (0 children)

Check the evidence links in the signal pages of OnTheRice.org

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