Jo humne sach mein check kiya, aur bata sakte hain kab kiya.
TRUST & METHODOLOGY
Jo fact hai, fact. Jo estimate hai, estimate.
YaatriGan ek hi rule par bana hai: uncertainty dikhni chahiye, use certainty ka roop nahi dena chahiye.
Prediction, prediction hi rehti hai — aur aksar ek range rehti hai.
Poori trip ke das hazaar simulations se nikala gaya.
Na-mojood evidence chupchaap confidence nahi ban jaata.
Chaar rules jo kisi chamakdaar score se zyada maayne rakhte hain.
1. Abhi ka sach predictions se ooncha hai.
Agar railway abhi keh raha hai WL 35, toh wo WL 35 hi hai — koi model, chahe kitna hi confident ho, use badal nahi sakta. Prediction fact ke bagal me baith kar bata sakti hai ki wo kya ban sakta hai. Uski jagah nahi le sakti.
2. Probability aur preference alag numbers hain.
Journey Success ek probability hai. Recommendation Score us baare me hai jo aapne kaha ki maayne rakhta hai — safest, fastest, cheapest. Apni priority batane se options aapke liye alag rank hote hain; jo asal me hone wala hai wo kabhi nahi badalta.
3. Range, range hi rehti hai.
Jab evidence sirf “60% se 85% ke beech kahin” keh sakta hai, aapko wahi dikhta hai. Use confident dikhne wale “74.3%” me badalna wo precision gadhna hoga jo hamare paas hai hi nahi — aur ye kisi bhi number par bharosa karne wale ko gumraah karne ka sabse aasaan tareeka hai.
4. Failure imaandaari se kam hota hai.
Jab kuch check nahi ho paata, hum kam dikhate hain aur ye keh dete hain. Us khaali jagah ko sahi-dikhne wale default se bhar kar use finding ki tarah padhne nahi dete.
Chaar tarah ke evidence, kabhi mile hue nahi.
Jo bhi aapko dikhta hai wo in chaar me se ek me aata hai, aur uspar wahi label lagta hai:
- Current — railway ke apne reservation aur fare ki jaankari abhi kya keh rahi hai, us waqt ke saath jab humne check kiya.
- Historical — is route ki trains sach mein kaisi chal rahi hain: aam delays, aur aapki jaisi dates par demand kaisi rehti hai.
- Predicted — us cheez ka estimate jo abhi hui hi nahi, jaise waitlisted ticket confirm hogi ya nahi. Jab evidence range hai, ye bhi hamesha range rehti hai.
- Simulated — hamara apna calculation: Journey Success, connection survival, aur inpar bani ranking.
Plan dikhata hai ki har aankda kis bucket se aaya aur kab check hua, taaki aap samajh sakein ki kya humein pata hai aur kya hum sochte hain.
“Humein nahi pata” bhi ek sahi result hai.
Bharose layak evidence ka na hona jhoothi precision se behtar hai. Jo option un cheezon par zyada tika hai jo hum pakka nahi kar paaye, use jaan-boojh kar “Safest” se bahar rakha jaata hai — defaults par bani sifarish safe nahi hoti, sirf confident hoti hai.
AI asal me kahan aata hai.
AI aur statistical modelling hum wahan use karte hain jahan sach mein uncertainty me faisla lena hota hai: train ne itihaas me kaisa bartaav kiya wo padhna, waitlist position ka kya hoga wo aanka lagana, aur poori journey das hazaar baar simulate karke dekhna ki wo kitni baar chalti hai.
Facts gadhne ke liye ise use nahi karte. Seat counts, fares, quotas aur waitlist numbers report hote hain, generate nahi — aur jahan hum pakka nahi kar paaye, jawab yahi hota hai ki pakka nahi kar paaye.
Ek independent product.
YaatriGan NutanTech Labs LLP ka product hai. Ye Indian Railways nahi hai, IRCTC nahi hai, aur inme se kisi se juda ya inke dwara endorsed nahi hai. Yahan kuch bhi official ticketing service ya ticket ke outcome ki guarantee nahi hai. Paise dene ya travel karne se pehle final booking details official booking channel par confirm karein.