Identifying hate speech detection on social media has become increasingly crucial for society. As the hate speech words are misused among the group of people. This rise of hate speech has led to conflicts and cases of cyber bullying. To overcome this problem deep learning and machine learning techniques are used such as LSTM (long short term memory), RF (random forest), SVM (support vector machine) and DT (decision tree). Among these techniques we have proposed LSTM and RF because of his best accuracy confidence level. The datasets or tweets are collected from twitter to make a separate dataset to be trained by ml techniques. These modules are trained datasets for machine learning techniques. These data files after analysis are stored as .csv files. These files go for data preprocessing and specifies every statement with IDs with the help of tokenizer. These modified csv files are applied for LSTM architecture layers 1) Embedding 2) LSTM 3) Dense. After applying the techniques the modified LSTM is saved as .hy file and the same process is done for RF and the modified file is stored as .pkl file. The app.py is a flask to construct a router interconnection between frontend and backend. To accept the file it use request method and to send it use render template method this app.py is a constructor to run the website to classify the speech is positive or negative. The precision rate of accuracy of proposed LSTM is 95.74% and for RF is 80.88% when compared with other techniques (SVM &DT)..

As the environment pollution is increasing it is the major concern for the global world. So it is need of Ev vehicles to reduce the environment pollution. So many governments are providing incentive on the prices of the cars. The main aim of the research was to examine the multiple methods & techniques for consumer perception towards Tata Nexon Ev car in Pune city. The descriptive research method was used with sample size of 32 using convince sampling techniques. Primary data was collected from the consumer buying Evs using questionnaire or Tata Nexon Ev & secondary data was collected from literature paper, books, internet sources..

Airport infrastructure, which includes runways and terminals that have been meticulously planned, is essential to the smooth operation of aviation activities. When airports are not properly maintained, they do not allow airlines to operate their planes in an effective manner, which leads in congestion and delays. Air traffic management systems that are adequately built ensure that aircraft have a safe flight and that the flight is conducted in an orderly manner. A number of components, including communication networks, radar systems, and air traffic control towers, are included in this group. A well-organized ATM framework should have two primary objectives: to maximize the utilization of airspace and to minimize the danger of accidents. In the presence of a robust regulatory framework, compliance with security protocols, safety regulations, and environmental legislation is ensured. The European Aviation Safety Agency (EASA) and the Federal Aviation Administration (FAA) in the United States are regulatory agencies that monitor the aviation industry and ensure that everything is operating in a safe and efficient manner..

Jharkhand's cultural festivals and celebrations embody a vibrant tapestry of tradition, community engagement, and economic vitality. Rooted deeply in heritage, these events not only preserve age-old customs but also serve as catalysts for tourism and social cohesion. With a diverse array of festivals showcasing the state's rich cultural diversity, Jharkhand stands poised to leverage its cultural legacy for sustainable development and global recognition..

In recent years, the proliferation of social media platforms has ushered in a transformative era in Indian politics and public discourse. India, known for its vibrant democracy and complex socio-cultural fabric, has seen these platforms profoundly reshape the landscape of political mobilization and public opinion. Social media has democratized access to information and participation in political processes, fundamentally altering how citizens engage with governance and each other. India's diverse political spectrum, spanning ideologies, languages, and regional identities, finds expression and amplification on social media. Political parties, activists, and citizens leverage platforms like Facebook, Twitter, and WhatsApp to disseminate messages, organize campaigns, and mobilize support across vast geographical distances, empowering voices previously marginalized in traditional media channels. Moreover, social media has become a critical arena for public opinion formation, with issues ranging from local governance to national policies being debated, dissected, and amplified in real-time by millions of users. User-generated content, viral campaigns, and citizen journalism challenge mainstream narratives, fostering a more inclusive dialogue that reflects the complexity of Indian society. However, social media also presents challenges, such as the rapid spread of misinformation, fake news, and divisive content, which influence public perception and electoral outcomes, often exacerbating societal tensions and undermining trust in institutions. Beyond electoral politics, social media facilitates movements for social justice, environmental advocacy, and cultural reform, with hashtags and online campaigns catalyzing offline protests and influencing policy agendas and societal norms in India..