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Why Paying ₹2.46/km: Feels Outdated When You Can Ride for ₹1.48” . . As fuel prices keep fluctuating, electric vehicles (EVs) are proving to be not just environmentally responsible, but economically unbeatable too. According to a recent CEEW study, h

Nissan Micra EV: A Stylish Electric Hatchback for the New Generation Nissan is set to reimagine its iconic Micra as a fully electric hatchback, designed for the next-gen urban driver. Built on the CMF-B EV platform, the Micra EV will combine afforda

Bajaj Chetak 3001 vs TVS iQube: The EV Scooter Showdown India Can’t Ignore India’s electric two-wheeler market just got more exciting — and more competitive We’re comparing two top contenders: the newly launched Bajaj Chetak 3001 and the proven TVS

Hii everyone, We are working on a real time project in our clg for ev charging station. Suggest where we can install ev charging station with customer point of view.

Kia Carens Clavis EV launched at ₹17.99 lakh: Is India ready for a family-sized electric MPV? Kia India has just unveiled the Carens Clavis EV, a 7-seater electric MPV starting at ₹17.99 lakh (ex-showroom). This launch could be a turning point for t

India needs an electric bicycle under 15k, it will be affordable and 30 to 40 km for people will be a game-changer for the country. #ev #bicycle #india

How do companies calculate software running costs for a project ? Is ther a standard method/procedure followed to estimate the cost ? How can we calculate per user cost?

hey , it's me aakash sanwaniya... I have an idea Powering the Future – A Revolutionary EV Charging Network in India *Transforming India’s EV Infrastructure with Smart, Convenient Charging **Problem Statement – The Need for a Robust EV Charging Netw

Maharashtra Launches India’s First Digital EV Battery Passport In a pioneering move, the Maharashtra government has rolled out India’s first EV Battery Passport, a digital record tracking battery health, charging cycles, faults, replacements, and ma

📊 Data Science Reality Check! Ever tracked how much time you actually spend on: ⏳ 60% Data cleaning & preprocessing 📊 20% Exploratory analysis 🤖 15% Model building 💡 5% Delivering insights The hard truth: We spend 12x more time preparing data t