AI / Machine Learning projects
Browse public AI and machine learning work from Wooble professionals. These pages help candidates, recruiters, and Google discover actual shipped projects instead of thin profile lists.
Public AI / Machine Learning work
36 projects matched to this search intent.
HONK LIVE — Real-Time Mumbai Bus Tracker with Smart Leave-Time Intelligence
Reduced commute anxiety for 100% of test users by delivering real-time bus ETAs and auto-calculated leave times — zero taps to know wh…
LocoBot
Travel optimisation by accurate real-time reminder
Honk Hackathon
Reduced commuter waiting time by providing accurate real-time bus ETAs. Enabled informed travel decisions through live delay and route…
OnRoute — Real-Time Commute Intelligence for Delhi Commuters
AI-powered bus tracker cuts commute uncertainty — live ETAs, delay predictions & leave-by alerts for 4.5M daily DTC riders
PuneBusLive – Smart Commute Assistant
AI-powered PMPML bus assistant that helps Pune commuters choose the best route using ETA prediction, seat availability insights, and s…
IPL Match Momentum Analysis (2020–2024): What Truly Decides Victory?
Toss advantage creates perception, middle overs create control, and death overs create opportunities for comebacks.
IPL Analytics Dashboard
Built an interactive Tableau dashboard analyzing toss win rates, scoring phases, and top IPL performers from ball-by-ball data.
IPL CRUNCH '26 - Backed by 289,673 Balls of Data
Analyzed 289,673 IPL deliveries across 19 seasons to prove the toss is statistically irrelevant,while middle-over execution (+7.5 runs…
IPL Ball-by-Ball Analysis — Toss, Phase & Venue Intelligence Across 1,218 Matches
Analysed 289,673 IPL deliveries to prove that scoreboard pressure outweighs venue conditions — teams chasing 200+ at Chinnaswamy win o…
Pitch Vision Analytics: IPL AI Strategy Engine
Built a live IPL strategy engine with phase-aware win prediction, pressure-based player intelligence, and a legal over-by-over Captain…
IPL Analysis from 2008 till 2026
“The dashboard reveals how batting, bowling, toss decisions, and match phases influence team performance and winning outcomes in IPL h…
IPL Crunch ’26: Decoding What Actually Wins IPL Matches
Analysed and built 4 specialized analytical datasets for toss analysis, phase-wise scoring, batting dominance, and bowling impact.
The Aggregation Paradox: A Multi-Layered Granularity Model for Predicting Cricket Scoreboard Gravity
Late-game speed wins critical moments, but steady middle-overs volume wins match tournaments.
NEXTBALL — Data-Driven IPL Matches Analysis
Analyzed 15+ IPL seasons to uncover toss impact, venue advantage, and winning match patterns.
Wobble IPL Analytics
“IPL victories are influenced far more by death-over performance and finishing strength than by toss advantage alone.”
IPL'26 Analytics
Processed multi-season IPL datasets to compare toss influence, scoring phases, and top player performances with data-backed insights.
IPL Match Intelligence: Data-Driven Analysis of Winning Patterns in T20 Cricket
Analyzed 200K+ IPL ball-by-ball records to uncover how death-over performance, batting consistency, and venue conditions influence mat…
Crunch-26 · IPL Data Challenge ·
Winning the toss means nothing. Middle overs win matches. The data proves what 76% of captains already knew.
IPL Crunch '26 — Ball-by-Ball Data Analytics · 289,673 Deliveries
Proved that field-first win rate collapsed from 65% to 43% as adoption hit 80% — and built 3 ML models confirming middle overs as the…
CricMind: High-Performance IPL Analytics & AI Simulator
Processes 395,011 deliveries across 1,226 matches in under 200ms with a fully offline, zero-latency browser intelligence engine.
IPL Crunch '26: 10 Cricket Clichés Tested. Most Didn't Survive.
The toss is a coin flip, Over 7 is the cheapest over in T20, and the real chase wall is 175. Backed by 19 seasons of ball-by-ball data…
IPL Insights Engine: ML-Powered Match Predictor & Player Scouting Dashboard
Achieved 82% match prediction accuracy by training a Random Forest classifier on 15+ years of historical IPL data.
StatShot: Turning IPL Data into a Winning Strategy Engine
Analyzed 289,673 ball by ball events to prove that +7.79 middle over run dominance is the strongest predictor of IPL match victory, ou…
BusAlert Pro — Real-Time Bus Tracking with AI Delay Prediction
Reduced commuter uncertainty from 100% guesswork to real-time ETA in under 2 seconds
Decoding IPL Victories Through Advanced Cricket Analytics
Analyzed 756 IPL matches and 179,000+ deliveries to uncover tactical patterns behind winning in modern T20 cricket.
IPL MatchPulse AI – Change One Ball, Rewrite the Match
Built an AI-powered IPL match simulator to predict win probability, simulate “what-if” scenarios, and explain how toss, player impact,…
IPL Crunch '26: What Actually Wins Matches — A Ball-by-Ball Intelligence Report
Proved toss is a coin flip (p=1.000) and death-over efficiency (+2.04 RPO) predicts the winner in all 17 of 17 IPL seasons
IPL Crunch Analytics Dashboard
Built a high-performance analytics application that processes ball-by-ball IPL records to provide actionable strategic data for franch…
IPL DATA ANALYSIS (2023-2026)
An interactive IPL analytics dashboard built using ball-by-ball data (2023–2026) that delivers deep insights into players, teams and v…
IPL InsightX – AI-Powered Cricket Analytics Studio
Analyzed IPL ball-by-ball datasets and built an AI-powered analytics platform with 9+ interactive visualizations, real-time filtering,…
IPL Crunch: Toss, Phase & Players Decoded from 278K Deliveries
Analyzed 278,034 deliveries across 18 seasons to prove the toss is a coin flip and the middle overs win games — validated on two datas…
🏏 IPL CRUNCH : Where Data Turns Into Game
IPL CRUNCH '26: Decoding 289K Deliveries with Advanced Analytics & Machine Learning
289K deliveries → 13 analytics modules, 30+ charts, 7 hidden patterns, 1 ML win-probability model.
The IPL Powerplay Paradox (2022-2026)
Don't watch the toss...Watch the wickets.....Watch the middle.
IPL Data Analysis 2015–2019: Python, Pandas & 70K+ Ball-by-Ball Records
5 seasons. 70,208 balls. One finding — the toss barely matters, the middle overs do.
Data-Driven Insights from IPL Matches
Performed end-to-end IPL analytics using Python, uncovering strategic insights through EDA, statistical analysis, and advanced visuali…