Machine learning projects by students and freshers

Machine learning builders and their projects

• MethaneGuard AI

  AI-powered methane leak detection and risk prioritization for faster environmental inspections.

  +2 more Machine learning projects

  Tasleem BegumSd signodia college of arts and commerce pg centre (osmania University

• MethaneGuard - Physics-Informed AI for Methane Leak Detection & Prioritization

  AI that finds methane plumes in satellite imagery, measures each leak in kg/hr, and ranks them so inspection crews fix the worst first.

  PREETANSH DEVPURANirma University

• 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.

  Shaswat HotaVeer Surendra Sai University of Technology, Burla

• PCA Face Recognition using MATLAB

  Implemented an Eigenfaces-based face recognition system using Principal Component Analysis (PCA) with 93.75% recognition accuracy.

  +1 more Machine learning project

  Madhav zanwarPimpri Chinchwad College of Engineering

• FlytBase AI Inbound BDR Assistant

  An AI-powered BDR assistant that qualifies inbound leads, researches companies, detects buying signals, and generates sales-ready insights.

  C-36 tanishka waghmareDr. D. Y. Patil Institute of Technology.

• MemoryVerse AI

  An AI-powered spatial archive that transforms scattered files into a structured, searchable timeline of your digital identity.

  Ashwin JauharyPsit College of Higher Education

• "Queue Cure — Real-Time Queue & Wait-Time System for Clinics

  Replaced a manual updation, token issued in seconds, patient wait times recalculated from real consultation data, zero manual refreshes

  Chhavi BhattRajiv Gandhi Institute of Petroleum Technology

• EagleSyncAI

  Autonomous AI-Agentic Career Intelligence Platform

  Lakshay PorwalRajasthan Technical University, Kota

• ClinicQ: Real-Time Clinic Token Management System

  Digitizes hospital queues with real-time sync, reducing perceived wait times by 60% and improving patient satisfaction by 40% across 500K+ clinics in India.

  NITHIN RChennai Institute of Technology

• Queue Cure — paper-free live clinic queue with per-patient QR

  5-sec patient add · <300 ms multi-screen sync · 0 paper printed · ETA from real data

  Harini V Msri sairam engineering college

• IPL Analytics Dashboard -> Advanced Cricket Intelligence & Performance Visualization

  Built a premium analytics dashboard for the Indian Premier League (IPL) that uncovers toss impact, match-winning phases, batting dominance, bowling efficiency,

  V C Premchand YadavVit-ap University

• Chase the Cloud Challenge '26 (ISRO)

  +1 more Machine learning project

  Soumya Ranjan MaharanaLakshya Institute of Technology

• Chase the Cloud Challenge '26 (ISRO)

  Bhanu SanikommuSaveetha School of Engineering

• MemoryVerse AI '26

  PriyadharshiniChennai Institute of Technology

• MemoryVerse AI '26

  Roopesh G AVellore Institute of Technology

• CareerEcho AI: A Memory-Aware Digital Identity Companion

  Built for MemoryVerse AI '26

  Priya DharshiniVsb engineering College

• MemoryVerse AI '26 AI POWERED DIGITAL IDENTITY SYSTEM

  Built for MemoryVerse AI '26

  PBPradeepa BV.s.b. Engineering College

• PredictaStock – AI Stock Forecasting Platform

  Mohit TiwarySikkim Manipal Institute of Technology

• 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.

  JPJ P Kalpana NayakaM S Ramaiah University of Appied Sciences

• IPL Crunch '26: Data-Driven Analysis of IPL Match Outcomes

  Analyzed 1,239 IPL matches and 294,757 deliveries to uncover that middle-over dominance predicts victory more strongly than toss advantage.

  +1 more Machine learning project

  Paridhi JainSymbiosis International University

• Wobble IPL Analytics

  “IPL victories are influenced far more by death-over performance and finishing strength than by toss advantage alone.”

  Sri VigneshKpr Institute of Engineering and Technology

• 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 match victories.

  SwayamGandhi Engineering College

• 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, outperforming toss advantage

  Yokash HVellore Institute of Technology

• IPL Crunch Analytics Dashboard

  Built a high-performance analytics application that processes ball-by-ball IPL records to provide actionable strategic data for franchise match-planning.

  Sohail KhanTechnocrats Institute of Technology

• 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.

  Manikumar VAmrita Vishwa Vidyapeetham

• TokenTrack

  This application uses AI-driven data to optimize and significantly reduce patient wait times.

  MUHILAN M AChennai Institute of Technology

• ClinicFlow – Real-Time Clinic Queue Management System

  Real-time queue synchronization across receptionist and patient screens with live wait-time estimation and zero page refreshes.

  NIMALAN MANI MChennai Institute of Technology

• 🏥 QueueCure – AI-Powered Smart Hospital Queue Management System with Real-Time Queue Tracking

  Built a real-time hospital queue system replacing paper tokens with live updates, smart analytics, and emergency queue management.

  Pankaj RautAdarsh Institute of Technology & Reserch Centre.

• IPL_CRUNCH_Report

  IPL matches are usually decided before the Death Overs — Powerplay and Middle Overs have the strongest impact on winning, while Death Overs are statistically cl

  Tanay JujaraoModern Education Societyã¢â‚¬â„¢s Wadia College of Engineering, Pune

• IPL Crunch: 5-Season Macro Analysis & T20 Winning Framework

  Discovered a compounding momentum framework proving that winning the Powerplay unlocks an elite 90.00% match-winning probability in the IPL.

  Hardik MahindrooIndian Institute of Technology Roorkee

• IPL Match Insights Using Python and Data Visualization

  Toss-winning teams secured 53.1% of the matches, highlighting a significant advantage in match outcomes.

  Khushboo AroraChandigarh Engineering College-cgc, Landran, Mohali

• IPL Match-Winning Insights Analysis

  Death-over scoring showed the strongest correlation with IPL victories, while toss advantage had minimal impact.

  Sushant SinghNational Institute of Electronics and Information Technology - Agartala

• IPL Crunch ’26 Analytics Dashboard

  Processed 289K+ IPL deliveries across 1200+ matches to uncover tactical match-winning insights using Python analytics.

  ISHU MITTALGraphic Era Hill University

• IPL 2026 Ball-by-Ball Match Intelligence & Performance Analytics

  Analyzed 289K+ deliveries to surface toss impact, phase dominance & player rankings across IPL seasons

  Ishita RathiProf. Ram Meghe Institute of Technology and Research

• IPL Match Winning Analysis using Python & Data Visualization

  Analyzed IPL match data to identify winning patterns using Python, Pandas, and Matplotlib. Explored toss impact, scoring phases, top players, and match-winning

  Aavinash MAnna University

• Decoding IPL Match Outcomes through Data Analytics

  Toss Impact: Winning the toss had almost no effect on overall match outcomes. Match Phases: Strong performance in the death overs showed the highest connection

  RACHAGOLLA PRANAVRajiv Gandhi Institute of Petroleum Technology

• Skill-Salary Correlation Study

  Shamantak NayakVisvesvaraya Technological University

• IPL MATCH INTELLIGENCE SYSTEM

  PALLAVIIndian Institute of Technology Roorkee