TEJAS 2026National Hackathon Entry

Fail Safely.
Learn Deeply.

An AI-guided platform that teaches students to reason through doubts and practice real science, before they ever enter a real lab.

12k+
Active Learners
450+
Lab Simulations
85k+
Reasoning Cycles
lab // live_stream
Live
Physics Lab Engine
1,240 Active Users
Alex2m ago

Why does the titration color change at pH 8.2?

AI Tutor
Verified

Think about the indicator's molecular structure. What happens to the protonation state when the solution turns basic?

+42
Students active
Ask the AI tutor…
The Problem Landscape

Why Students Freeze in Labs

Rote memorization and AI shortcuts create a false sense of competence. We analyze the gap between theory and practice.

Select Problem Area3 Core Challenges
Core ChallengeID: #lab-anxiety

Students memorize theory but freeze when handling real titration equipment. How does the current system fail to bridge the gap between rote learning and practical execution?

Standard Rote Learning
HIGH RISK (88/100)
Passive learning • No practical feedback • Rote focus
Current Reality

Students are expected to perform experiments after reading the manual once. If they fail, they simply repeat the steps. The current system assumes that memorizing the procedure is equivalent to understanding the underlying scientific reasoning.

Systemic Failure

Fabricated Assumption: Memorization equals mastery; physical lab anxiety is a non-factor in student performance.

Risk: Severe Practical Skill DeficitAlerts: 2 flagged
Root Cause

Ignores the cognitive load of real-time lab environments and the lack of safe failure spaces.

Status: INEFFECTIVE
Our Solution
Evidence: 94/100LOW RISK (Verified)
Socratic AI • Virtual Lab • Real-time Analytics
Proposed Approach

Practical science requires iterative reasoning. Students need a sandbox to fail safely, test hypotheses, and build muscle memory before entering high-stakes physical labs.

Key PillarsValidation

Iterative practice reduces lab anxiety by 40% compared to single-attempt memorization.

Supported
Education Research • EDU-2024-01

Rote memorization fails to develop the 'what-if' reasoning required for real science.

Supported
Pedagogy Journal • PED-2023-05

Safe failure environments allow for risk-free experimentation.

Partially Supported
Learning Science • LSC-2022-09
Learning NoteEffectiveness varies by student engagement levels and the quality of the feedback loop.
Status: VERIFIED
Impact Metrics

Performance Gains

Skill Retention+68% Skill Retention
Error Reduction0 Unverified Claims
Verified Sources3 Authoritative Sources
Feedback Latency340ms Verification Latency
Educational Disclaimer

“Our platform provides guided reasoning, not just answers. Always verify scientific results through hands-on experimentation.”

Our Platform

Science, mastered safely. Equal practical exposure for every student.

An AI-guided ecosystem that teaches students to reason through doubts and practice real science, before they ever enter a physical lab.

ACTIVE ENGINE

Guided Reasoning

Socratic AI Tutor

Reasoning Depth
3.2x

Hints first, then guiding questions. Full solutions unlock only after repeated attempts, ensuring students learn to think.

READY TO RUN

Risk-Free Practice

Virtual Lab

Failure Risk
100%Safe

Physics, Chemistry, and Biology simulations with 'what-if' prompts. Fail, retry, and master concepts at zero cost.

COMPILER LIVE

Real-Time Debugging

Coding Sandbox

Execution Lag
0.0ms

Executable code environment with AI reviewers that explain mistakes without rewriting your logic. Debugging tracked.

DATA SYNCED

Insight Dashboard

Teacher Analytics

Insight Accuracy
99.4%Acc

Tracks reasoning attempts and lab confidence. Teachers spot struggling students and weak topics before exams.

Ready for TEJAS 2026

Our platform is built to scale across India, ensuring every student is lab-ready.

AI-GUIDED REASONING ENGINE

Doubt Engine: Hint First, Solve Later

Our Socratic AI guides students through NCERT-grounded reasoning. Unlock full solutions only after repeated attempts.

Active AI
142 active
Physics Doubt Engine
Socratic guidance for kinematics and thermodynamics. Hint-first approach.
Latest Query

“How do I derive the work-energy theorem for non-conservative forces?”

Tutor: Dr. Aris
#Physics#NCERT#Mechanics
+ users
Static Mode
89 active
Chemistry Lab Logic
Virtual titration walkthroughs with what-if failure simulations.
Latest Query

“What happens if I overshoot the endpoint in a redox titration?”

Tutor: Lab Bot
#Chemistry#Lab#Safety
+ users
Active AI
64 active
Biology Reasoning
DNA replication and genetic mapping logic puzzles.
Latest Query

“Explain the role of Okazaki fragments in lagging strand synthesis.”

Tutor: Bio AI
#Biology#Genetics#NCERT
+ users
Static Mode
118 active
Coding Sandbox
Real-time Python debugging with AI-guided hint panels.
Latest Query

“Why is my recursive function hitting a stack overflow error?”

Tutor: Code AI
#Python#Debug#Logic
+ users
Active AI
204 active
Calculus Reasoning
Step-by-step derivation hints for complex integrals.
Latest Query

“How do I apply integration by parts to this function?”

Tutor: Math AI
#Math#Calculus#NCERT
+ users
Static Mode
76 active
Teacher Analytics
Monitor student reasoning attempts and lab confidence scores.
Latest Query

“How to interpret the pre-vs-post lab confidence delta?”

Tutor: Admin AI
#Analytics#Teacher#KPI
+ users

NCERT Grounded Intelligence

Every hint is validated against NCERT textbooks via RAG, ensuring academic accuracy and pedagogical alignment.

SLIDE 05 · EXPERIMENT BENCHPROJECT: LABAI · TEAM ID: TEJAS-2026

Simulate the stakes. Fail safely before entering the real lab.

Physics, Chemistry, and Biology walkthroughs built around active "What-If" interventions. Students alter critical parameters, trigger virtual accidents at zero risk, and build instinctual reasoning.

Select Discipline Scenario 100% NCERT Grounded
Chemistry

Strong Acid-Base Neutralization

Active Bench

"What if you titrate 0.1M HCl without adding Phenolphthalein indicator?"

NCERT Class 11 · EquilibriumZero Cost • Zero Risk
Physics

Damped Harmonic Oscillator

Load

"What if air resistance drag coefficient is increased by 400%?"

NCERT Class 11 · OscillationsZero Cost • Zero Risk
Biology

Membrane Osmosis & Turgidity

Load

"What if cell sap osmolarity drops below surrounding sucrose concentration?"

NCERT Class 11 · Plant Cell PhysiologyZero Cost • Zero Risk
Pedagogical Safety Guardrail
Consequence feedback without toxic exposure
Active
labai-kernel // chem-titration.sim
PHYS-SYS V2.4 READY
Dynamic Apparatus Controller
Target: Chemistry Module
Titrant Added (0.1M NaOH)25 mL
Min: 15 mLBaseline: 25 mLMax: 35 mL
Hypothesis Trigger

What if you titrate 0.1M HCl without adding Phenolphthalein indicator?

Telemetry & AI Diagnostic LogRAG Grounded: NCERT 2026 Core
>Initial state: Standard temperature & pressure locked (298.15 K).
>Param Injection: Titrant Added (0.1M NaOH) = 25 mL
Click 'Execute Reaction' or slide parameter to run virtual trial…
[PEDAGOGIC OUTCOME]: Student learns the diagnostic role of weak acid indicators before handling concentrated bench acids.
Instant Re-try Supported
SPEAKER NOTE: Real labs penalize failure; LABAI invites it through Socratic "What-Ifs".Slide 5 of 12
[ TEJAS 2026 // LAB SANDBOX ]

CS Coding Sandbox

Debug real science code. Test your logic in a safe, AI-guided environment before the real lab.

JUDGE0: READY
TEJAS-2026
Select Lab Module
Mechanics & Logic

Physics Force Solver

Simulates vector forces on a particle in a vacuum. Adjust mass, acceleration, and time to observe kinetic energy output.

Execution Steps
01Define mass (m) and acceleration (a) constants.
02Compute force vector using Newton's second law.
03Integrate velocity over time steps (Δt).
04Output final kinetic energy and momentum.
Parameters
Mass (m)10 kg
Acceleration (a)9.8 m/s²
Time (t)5 s
force_calc.py(Python 3.11)
12345678def solve_force(m=10, a=9.8, t=5):    force = m * a    velocity = a * t    energy = 0.5 * m * (velocity ** 2)    return {"force": force, "energy": energy} res = solve_force()print(f"Force: {res['force']}N | Energy: {res['energy']}J")
CONSOLE

Ready. Adjust parameters and click Run.

RUNTIMEPython 3.11
PRECISION64-bit
STATUSOnline
Educator TelemetryPillar 04 | LABAI

Spot struggling students before they freeze in real labs.

Traditional lab practicals only grade the final outcome. Our live dashboard captures the hidden learning journey: hint persistence, trial iterations, and actual conceptual doubt patterns across Grade 10-12 sciences.

Reasoning Persistence+38%
4.8x+1.4x retry avg vs manual labs
Post-Lab Confidence+48%
82%Up from 34% pre-simulation
Roadblocks FlaggedActive
14Automated early interventions
TEAM ID: TEJAS-2026-EDU | Real-time Socratic Feedback Loop
labai_telemetry_v2.6 // Grade 11-B Physics & Chemistry
LIVE COHORT FEED

Student Reasoning & Roadblock Radar

Continuous telemetry from Socratic Doubt Engine & Virtual Lab benches

Confidence Lift: Virtual Walkthrough vs First Real Attempt
NCERT Benchmark: +45% Gain
Physics: Optics & Focal Length32% → 86% (+54%)
Chemistry: Acid-Base Titration28% → 79% (+51%)
Biology: Mitosis Cell Staining41% → 88% (+47%)
Highest Concept Frictions (Intervention Recommended)Based on Socratic Hints Used
Titration End-Point (Chem)
68%42 students stuck
Hint unlocks before solution: 4.2 avg
Lenz Law Vectors (Phys)
54%38 students stuck
Hint unlocks before solution: 4.2 avg
Pointer Memory Leaks (CS)
46%29 students stuck
Hint unlocks before solution: 4.2 avg
Recent Student Activity & Persistence Logs
A
Aarav Sharma
ST-8821 • Titration Stoichiometry
Reasoning Tries: 4
Confidence: 38% → 84%
Mastered
D
Diya Patel
ST-9104 • Electromagnetic Induction
Reasoning Tries: 7
Confidence: 22% → 41%
Review
R
Rohan Verma
ST-7432 • Recursion & Callstacks
Reasoning Tries: 5
Confidence: 45% → 79%
Mastered
A
Ananya Iyer
ST-6219 • DNA Gel Electrophoresis
Reasoning Tries: 6
Confidence: 30% → 48%
Review
AI Pedagogical Note: Class 11-B solved titration anomalies 2.4x faster after what-if virtual acid spills.